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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 676
MEASUREMENT OF SECOND HARMONIC VOLTAGE WITH WAVELENGTH
MODULATION SPECTROSCOPY USING MATLAB SIMULINK
Rupa Sinha1, Dr. Rekha Mehra2
1M.Tech Scholar, Department of ECE, Government Engineering College Ajmer
2Associate Professor Department of ECE, Government Engineering College Ajmer
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract -In the recent time free-space optical
communication systems havegarneredsignificantrecognition
because of its higher capability it provides path for long
distance applications. When FSO is being operated on illegal
optical spectrum, it may yield the LOS optical transmission
with the advantage of lower price and also better security
system. FSO is defined as transference of harmonized visibleor
IR rays in the airspace for obtaining broadband
communication. FSO can be operatedoveralongdistancethat
can be up to many kilometers. In FSO systems Communication
between transmitter and receiver can be done till the time the
LOS. But the condition for this transference is that the
transmitted power should be so much high that it can
overcome the atmospheric losses till the time it reaches to the
receiver. Free Space Optical communication systems
dependent on WDM technology can provide a speed as high as
1 Terabit/s and much higher capacity according to user
requirement. It has some other advantages like they use small
size transmitter and receivers, the cost required for their
installation and development is not much as compared to
other techniques also they are not affected byelectromagnetic
interference FSO systems came into existence because of
higher traffic requirement and security of the communication
systems. The links that are involved in satellites, interstellar
probes, ground stations, UAVs, long height platform, aircrafts
are practically interesting.
Key Words: FSO, WDM, UAV, Spectrum, Intensity, lock-in
amplification.
1. INTRODUCTION
In the recent time free-space optical communicationsystems
have garnered significant recognition because of its higher
capability it provides path for long distance applications.
When FSO is being operated on illegal optical spectrum, it
may yield the LOS optical transmission withtheadvantageof
lower price and also better securitysystem.FSOisdefinedas
transference of harmonized visible or IR rays in theairspace
for obtaining broadband communication. FSO can be
operated over a long distance that can be up to many
kilometers. In FSO systems Communication between
transmitter and receiver can be done till the time the LOS.
But the condition for thistransferenceisthatthetransmitted
power should be so much high that it can overcome the
atmospheric losses till the time it reaches to the receiver.
Free Space Optical communication is proffered as
compatible technique with the radio frequency technology.
FSO provides disorganized BW spectrum that is in terahertz
technology also the speed of the data transfer is very high.
Due to these advantages FSO is becoming very popular
communication technology for satisfying the growing
demand of BW traffic mainly for the long distance
communication. Free Space Optical communicationsystems
dependent on WDM technology can provide a speed as high
as 1 Terabit/s and much higher capacity according to user
requirement. It has some other advantages like they use
small size transmitter and receivers, the cost required for
their installation and development is not much as compared
to other techniques also they are not affected by
electromagnetic interference FSO systems came into
existence because of higher traffic requirement andsecurity
of the communication systems. Thelinksthatareinvolvedin
satellites, interstellar probes, ground stations, UAVs, long
height platform, aircrafts are practically interesting.
1.1 Overview of FSO Communication:
FSO communication is the transmission ofinformation/data
over long distances using harmonized optical signals in
unguided network system. The random communication
system can be free space, water, atmosphere or an
integration of these Medias. Since the research focuses on
terrene transmissions, the main interest is atmosphere. The
data to be transmitted can be modulated in its frequency,
phase or intensity of the optical signal
1.1.1 FSO Block Diagram:
Figure 1.2 depicts block diagram of classic earthbound FSO
network. FSO is also having same configurationaspossessed
by another communication system. FSO also having three
prime systems which are listed below:
 Receiver
 Transmitter
 Communication Channel
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 677
Fig. 1.2 Illustration of FSO with three prime systems
1.1.2 The Transmitter:
As there are three main systems in FSO and every system is
designed to do a specific task. Now in first stage transmitter
has to execute its crucial task of modulation of message
which is originated by source and it must be compatible to
travel through optical channel without any loss of signal and
must be reached to destination point via atmosphere. The
transmitter consist mainly four sub units
 Transmitter Telescope
 Driver Circuit
 Modulator
 Optical Source
Modulator play very prime role and is accountable for
proper conversion of initiated message so that it can be
compatible with optical channel. OOK modulationtechnique
is one of the fundamental schemes generally utilized in FSO
for communications purpose.
1.2 Architectures of FSO:
Designed system must be reliable, robust and should be
compatible enough to work in any environment and
configuration like ring topology, PTP, mesh topology, PMP
and many more as per requirement. With time populations
increasing exponentially so to meet the demand of people
especially in metropolitan zone, vendors must assistwith all
types of service with standard QoS band prepares their
network as a giant and extend all the services to last person
with FSO.
1.2.1 FSO Mesh Configuration:
Figure 1.6 represent FSO mesh configuration which is made
up of various sensing nodes coupleswith eachotherinseries
with minute angle of lay-off. In this kind of configuration
each node is coupled to each node of network directly or
multiple hops in series.
Fig. 1.6 Mesh architecture
1.2.2 FSO P2M Configuration:
In this configuration there would be a single node which
generate message and work as a server for other sensing
nodes. This node is coupled with many nodes to which
information will be shared. Figure 1.7 represent best suited
technique of point to multipointconfigurationandsitesmust
be close enough
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 678
Fig.1.7 point to multipoint architecture
1.2.3 Multiple PTP Architecture:
Figure 1.8 layout multipoint PTP configurations and it is
best suited for large scale network to manufacture sensible
connection path. In this configurationthereissomestandard
weather parameters must be in consideration during
employment of this technique
Fig.1.8 multiple PTP architecture
1.3 Challenges Encountered in FSO:
FSO communication promises a very bright future in terms
of its high data rate, immunity to electromagnetic
interference (EMI) and security.
1.3.1 Atmospheric effects:
There are various communicating channels exist according
to signal properties. No channel exists till now who transmit
information without any noise or disturbance. Definitely
there would be some impact of channel on signalOptical
Scattering
 Optical Absorption
 Index-of-Refractive
Optical signals are impaired bythreeprimefactors whichare
depicted below due to which signal strength becomes so
lower and crucial information may be lost and that wouldbe
tedious task to recover again in spite of robust receiver.
 Absorption
 Scattering
 Refraction
1.3.2 Pointing, Acquisition and Tracking System:
PAT techniques have been a serious challenge encountered
in FSO. Typical FSO links require a transparent LOS among
transceiver.
1.4 FSO Application:
FSO communication system can be deployed in various
domains of application like military, civilian [3].
Deep Space Probes: In mission like deep space investigation
there are huge restriction on various parameters like mass,
volume and power of onboard devices is severely limited
and hence therefore size of antenna andtransmissionpower
are also limited. According to, lasercom terminals for space
investigation have much lower mass with respect to radio
frequency unit [5].
Links involving Satellites: FSO path can be used in SC
(satellite communications) to establish a global backbone
network. Optical links which incorporate satellites provide
very high quality service (Gigabits data) even to remote
areas such as an island, a rural area or an isolated country.
FSO Links involving satellites includes satellite to ground
and air, ISL.
Terrestrial Networks: FSO utilized in terrestrial networksto
establish a PTP and line of sight optical connection between
two transceiversthroughthe atmosphere.Propagationrange
of light signal through atmospheric channel can be 100 m to
10 Km due to the LOS property. Since data rates of FSO are
approximate to FO (fiber optic, this telecommunication
pattern can be crucial for broadband internet access.
1.5 FSO Disadvantages:
FSO is a LOS technology in which atmosphere play role of
transmission medium. Therefore snow, rain, humidity,
visibility, and various obstacles affect communication link.
 Poor Weather
 Physical Obstacles
 Scintillation
 Weather Conditions
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 679
Further Weather Condition classified into different section
 Rain Condition:
 Snow Condition:
 Fog Condition
2.1 Objectives and Methodology
In our research work based upon wavelength modulation
spectroscopy (WMS) using tunable diode laser. WMS
determine concentration, temperature and velocity of
absorbing gaseous molecules. Our objective will be
 MATLAB based Digital Lock-in amplifier technique
for extraction of harmonics (1f & 2f), from the
wavelength modulated optical absorption signal
 MATLAB based program for calculating the oxygen
concentration from1fand2f harmonics.Theoxygen
concentration has been measured using MATLAB
implemented digital lock-in-amplifier and
concentration computation formula. The deviation
in the measured Oxygen concentration from the
actual Oxygen concentration supplied through the
mass flow controllers is less than 1%.
 WMS technique findsmajorapplicationinindustrial
and scientific areas. An important component of
sensors/systems based on these techniques is the
phase sensitive detection for demodulation, in the
form of hardware or software based lock-in
amplifier.
2.2 Calibration-Free Wavelength-Modulation
Spectroscopy
This part depicts a method and implementation of
calibration-free WMS that has been developed over the last
several years for application in harsh environments. The
section begins with a brief overview of traditional scanned-
wavelength direct-absorptionspectroscopy.Thesubsequent
calibration-free WMS discussion is divided into four parts
 Relevant background
 WMS measurement
 WMS model
 Comparison between thetwotoinfergasproperties
2.3 Scanned-Wavelength Direct-Absorption
Spectroscopy
For many years,tunable-diode-laser(TDL)direct-absorption
spectroscopy has been the technique of choice for
absorption-based measurements of gas parametersinharsh
environments because of its simplicity, accuracy, and ability
to make absolute measurements. The diode-laser injection
current is tuned with a repetitive ramp waveform (or
similar). This has the effect of repetitively ramping the laser
intensity and the laser wavelength. If the nominal laser
wavelength corresponds to a spectral.
Figure 3.1 Schematic of scanned-wavelength direct-
absorption spectroscopy with a tunable diode laser
Absorption feature for a species present in the probed gas
sample, the laser is tuned across the feature and results in a
detector signal similar to the one shown (intensity vs. time).
Here α denotes the absorbance, It is the transmitted laser
intensity (i.e. the detector signal), and Io is the incidentlaser
intensity (i.e. the baseline). The absorbance can be related
back to the gas properties of a uniform absorbing medium
through the following equation:
where Sj(T) is the line strength at temperature T of
absorption transition j, Pi is the partial pressureofthetarget
species i, L is the path length of laser beam travel through
the uniform absorbing medium, and φ j(ν) is the line shape
function at frequency ν (referring to the optical frequency,
which is inverse wavelength).
The integrated absorbanceisdirectlyproportional tospecies
partial pressure (and therefore concentration)andisrelated
to the temperature of the absorbing gas by S(T), which is
either measured under laboratory conditions or obtained
from HITRAN [22].
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 680
For thermometry, the ratio of the integrated area of two
absorption features is used. When the ratio is taken, the
species partial
2.4 Wavelength-Modulation Spectroscopy
Wavelength-modulation spectroscopy (WMS) is similar to
direct-absorption spectroscopy, exceptthelaserwavelength
is additionally modulatedwitha rapidsinusoid(atfrequency
f). This attribute of WMS is particularly useful in harsh
environments, and is demonstrated in Figure 3.2. A simple
experiment was performed in which a laser was tuned to an
absorption feature and the 2f and 1f signals were recorded
as the laser beam was partially blocked (left panel), and the
laser optics were periodically vibrated (rightpanel).Despite
the large and rapid changes in the laser intensity (which
affect both the 2f and 1f signals), the 1f-normalized, WMS-2f
signal remains unchanged. Altogether, the benefits listed
above yield a 2-100x improvement in SNR for WMS-2f over
direct absorption, depending on the measurement
conditions. Given these benefits over direct absorption, the
technique has been applied to many harsh or difficult
absorption measurements.
Figure 3.2 Demonstration of 1f-normalization to account
for laser intensity perturbations to the 2f signal, (a) the
laser beam is increasingly blocked, and (b) the laser optics
are periodically vibrated
2.4.1 WMS Measurement
Figure 3.3 shows a schematic of a scanned-wavelength WMS
measurement using a diode laser. Much like traditional
scanned-wavelength direct-absorption measurements, the
diode-laser injection current is tuned with a repetitiveramp
waveform.
Figure 3.3 Schematic of wavelength-modulation
spectroscopy (1f-normalized, WMS-2f). Example data is
water-vapor absorption measured in a scramjet
combustor at WPAFB. The 2f signal is always positive due
to the phase-insensitive lock-in approach taken in these
experiments (described below). The slight distortion on
the left side of the
2.5 Implemented Simulation Blocks Diagrams:
Fig.3.4 Implemented Simulink block diagram
Fig.3.5 Subsystem 1 of implemented Simulink block
diagram
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 681
Fig.3.6 Subsystem 2 of implemented Simulink block
diagram
3. Result and discussion
3.1 Software: MATLAB R2015a: Mat lab stands for matrix
laboratory and is very powerful software which provides us
various tool box and diverse virtual environment for
executing different types of problem of different domain as
per demand. With help of MATLAB, complex problems can
be solved so effectively and rapidly with respect to our
classic programming languages for example C, C++, and
FORTRAN.
3.1.1. Matlab System
In MATLAB there arefiveimportantsectionsavailablewhere
research oriented work can be executed. Thesefivedomains
are listed below:
 MATLAB Scripting Language (.m file)
 MATLAB Simulink Environment
 Graphical User Interface (GUI)
 Mathematical Function Library
 Application Program Interface (API)
3.1.2. Matlab Simulink
Matlab consist different working environment and out of
them Simulation in Matlab play very prime role in any
research. In this environment anyone can create virtual
model before implementing in real life.
3.1.3. Fuzzy Logic System
Fuzzy logic concept is not based on a control methodology,
but process the large data by permitting partial set
membership function rather than crisp set membership.
Professor Zadeh gives the logic that people that they do not
need so much accurate, numerical data input, and in spite of
this able to control very accurately.
Figure 4.2 Basic diagram of fuzzy logic for different MF
Figure 4.3 air control fuzzy logic illustration
Feedback controllers would be extremelyconstructive when
programmed can be done in such a way that they accept
noisy, un-specific input and gives optimized result. FL is a
problem-solving control system methodology that lends
itself to implementation ranging from simple, small,
embedded micro-controllers to large, networked,
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 682
workstation-based data acquisition and control systems
(DACS) in a system. It can be executed in software,hardware
or integration of both.
3.2 Simulation Output:
This section depicts the simulation result carried out
Figure 4.5 Represents Intensity (W) v/s Time (ps) and
Intensity (dBm) v/s Wavelength (nm)
Figure 4.6 Represents 3D relationship between Intensity
(W) v/s Pass Numbers and Time (0.1 ps)
Figure 4.7 Harmonic Amplitude (dBm) and Wavelength
(nm)
Figure 4.8 Intensity (dBm) and Wavelength (nm)
Figure 4.9 Second Harmonic Amplitude (V) and Time (ps)
Figure 4.10 Normalized Excited state population N2
4.1 Conclusion:
There are various optical absorption method exist to
measure concentration of various gaseous.Earlierhardware
systems are used to execute desired result but right now
with help of different types of simulation desired resultscan
be achieved. The experimental simulation process uses
MATLAB to complete the gas absorptionprocessanda phase
sensitive detection or demodulation code is developed in
software based lock-in amplifier for the extraction of 1f and
2f harmonics using MATLAB and these harmonics are
collected using the method of lock-in amplification. After
locking the amplified signal, the larger weakened the higher
amplitude of the fundamental signal, the resulting second
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 683
harmonic signal to meet the gas detection requirements. we
have shown the different graph of Intensity with respect to
time and wavelength, we have also shown the3Ddiagram of
intensity, Pass number and time. The result is obtained
between 2nd harmonic and time and also for intensity.
4.2 Future Scope
There are diverse techniques existed for optical absorption
and prime concern of research is to fetch out tremendous
result in term of second harmonics so that further these
harmonics can be used for optimization. Now a day’s IoT, AI
can be collaborated in optical absorption to get optimized
result. As per demand of industry AI and IoT dominating
technologies which will cover large part of application in
every domain
REFERENCES
[1] M. A. Al-Habash, L. C. Andrews, and R. L. Philips,
"Mathematical model for the irradiance probability density
function of a laser propagating through turbulent media,"
Opt. Eng., vol. 40, no. 8, pp. 1554-1562,Aug. 2001
[2] X. Zhuand and L. Kahn, "Free space optical
communication through atmospheric turbulence channels,"
IEEE Trans. Commun., vol. 50, no. 8, pp. 1293-1300, Aug.
2002
[3] X. Zhu and L. M. Kahn," Performance bounds for coded
free-space Optical communications through atmospheric
turbulence," IEEE Trans. Commun., vol. 51, no. 8, pp. 1233-
1239, Aug. 2003.
[4] M. A. Naboulsi, H. Sizun, and F. de Fornel, "Fog
attenuation prediction for optical and infrared waves", Opt.
Eng., vol. 43, no. 2, pp. 319-329, Feb. 2004
[5] X. Wang and K. Kitayama, "Analysis of beat noise in
coherent and incoherent time-spreading OCDMA,"
IEEE/OSA Journal of Light wave Technology ,vol. 22, no. 10,
pp. 2226-2235, 2004.
[6] T. H. Shake, "Confident performance of encoded optical
CDMA", IEEE/OSA Journal of Light wave Technology,vol. 23,
pp. 1652- 1663, 2005.
[7] A. Ahmed and S. Hranilovic, "Outage Capacity
Optimization for Free-Space Optical Links with Pointing
Errors," IEEE Journal of light wave technology, vol. 25, no. 7,
July 2007.
[8] V. Jyoti and R. S. Kaler, "Performance analysis of one-
dimensional and two-dimensional codes in optical Code
division multiple access system", Department of Electronics
& Communication Engineering, Thapar University, Punjab,
India, 2009
[9] Hennes Henniger, Otakar Wilfert,“An Introduction to
Free-space Optical Communications”,RadioEngineering, Vol.
19, No. 2, June 2010
[10] Ashish Kumar, Aakash Dhiman, Devender Kumar,
Naresh Kumar, “Free Space Optical Communication System
under Different Weather Conditions, IOSR Journal of
Engineering (IOSRJEN), Vol. 3, Issue 12 (December. 2013),
||V2|| PP 52-58
[11] Ritesh A. Jadhav, Dattatraya S. Shitole, “Fiber Optics
Communication And Applications”, International Journal of
Innovative Research in Engineering & Science ISSN 2319-
5665(April 2013, issue 2 volume 4)
[12] Francis Idachaba, Dike U. Ike, and Orovwode Hope,
“Future Trends in Fiber Optics Communication, Proceedings
of the World Congress on Engineering2014Vol I,WCE2014,
July 2 - 4, 2014, London, U.K.
[13] Bhanu Priya, “ PerformanceAnalysisofSACOCDMA-FSO
System Using MD Codes”, International Journal of Hybrid
Information Technology Vol.8, No. 5 (2015), pp. 187-194
[14] Mehtab Singh, “Simulative Analysis of 10 Gbps High
Speed Free Space Optical Communication Link”,
International Journal of Future Generation Communication
and Networking Vol. 9, No. 3 (2016), pp. 139-144
[15] Mohamed Bouhadda, Fouad Mohamed Abbou,
Mustapha Serhani, Fouad Chaatit and Ali Boutoulout,
“Analysis of dispersion effect on a NRZ-OOK terrestrial free-
space optical transmission system”, Journal of the European
Optical Society-RapidPublications,Society-apidPublications
(2016) 12:18
[16] Deeksha Jain, Dr. Rekha Mehra, “Performance Analysis
of Free Space Optical Communication System for S, C and L
band”, 2017 International Conference on Computer,
Communications and Electronics (Comptelix) Manipal
University Jaipur, Malaviya National Institute o/Technology
Jaipur & IRISWORLD, July 01-02,2017
[17] Satea H. ALNAJJAR, Ammar A. Noori, and Arwa A.
Moosa, “Enhancement of FSO Communications Links Under
Complex Environment”, Photonic Sensors, 2017, DOI:
10.1007/s13320-017-0336-1
AUTHOR PROFILE
MS. Rupa Sinha M.Tech. Scholar from Government
Engineering College Ajmer.
Dr. Rekha Mehra, working as Associate Professor
Department of ECE in Government Engineering College
Ajmer.

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IRJET- Measurement of Second Harmonic Voltage with Wavelength Modulation Spectroscopy using MATLAB Simulink

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 676 MEASUREMENT OF SECOND HARMONIC VOLTAGE WITH WAVELENGTH MODULATION SPECTROSCOPY USING MATLAB SIMULINK Rupa Sinha1, Dr. Rekha Mehra2 1M.Tech Scholar, Department of ECE, Government Engineering College Ajmer 2Associate Professor Department of ECE, Government Engineering College Ajmer ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract -In the recent time free-space optical communication systems havegarneredsignificantrecognition because of its higher capability it provides path for long distance applications. When FSO is being operated on illegal optical spectrum, it may yield the LOS optical transmission with the advantage of lower price and also better security system. FSO is defined as transference of harmonized visibleor IR rays in the airspace for obtaining broadband communication. FSO can be operatedoveralongdistancethat can be up to many kilometers. In FSO systems Communication between transmitter and receiver can be done till the time the LOS. But the condition for this transference is that the transmitted power should be so much high that it can overcome the atmospheric losses till the time it reaches to the receiver. Free Space Optical communication systems dependent on WDM technology can provide a speed as high as 1 Terabit/s and much higher capacity according to user requirement. It has some other advantages like they use small size transmitter and receivers, the cost required for their installation and development is not much as compared to other techniques also they are not affected byelectromagnetic interference FSO systems came into existence because of higher traffic requirement and security of the communication systems. The links that are involved in satellites, interstellar probes, ground stations, UAVs, long height platform, aircrafts are practically interesting. Key Words: FSO, WDM, UAV, Spectrum, Intensity, lock-in amplification. 1. INTRODUCTION In the recent time free-space optical communicationsystems have garnered significant recognition because of its higher capability it provides path for long distance applications. When FSO is being operated on illegal optical spectrum, it may yield the LOS optical transmission withtheadvantageof lower price and also better securitysystem.FSOisdefinedas transference of harmonized visible or IR rays in theairspace for obtaining broadband communication. FSO can be operated over a long distance that can be up to many kilometers. In FSO systems Communication between transmitter and receiver can be done till the time the LOS. But the condition for thistransferenceisthatthetransmitted power should be so much high that it can overcome the atmospheric losses till the time it reaches to the receiver. Free Space Optical communication is proffered as compatible technique with the radio frequency technology. FSO provides disorganized BW spectrum that is in terahertz technology also the speed of the data transfer is very high. Due to these advantages FSO is becoming very popular communication technology for satisfying the growing demand of BW traffic mainly for the long distance communication. Free Space Optical communicationsystems dependent on WDM technology can provide a speed as high as 1 Terabit/s and much higher capacity according to user requirement. It has some other advantages like they use small size transmitter and receivers, the cost required for their installation and development is not much as compared to other techniques also they are not affected by electromagnetic interference FSO systems came into existence because of higher traffic requirement andsecurity of the communication systems. Thelinksthatareinvolvedin satellites, interstellar probes, ground stations, UAVs, long height platform, aircrafts are practically interesting. 1.1 Overview of FSO Communication: FSO communication is the transmission ofinformation/data over long distances using harmonized optical signals in unguided network system. The random communication system can be free space, water, atmosphere or an integration of these Medias. Since the research focuses on terrene transmissions, the main interest is atmosphere. The data to be transmitted can be modulated in its frequency, phase or intensity of the optical signal 1.1.1 FSO Block Diagram: Figure 1.2 depicts block diagram of classic earthbound FSO network. FSO is also having same configurationaspossessed by another communication system. FSO also having three prime systems which are listed below:  Receiver  Transmitter  Communication Channel
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 677 Fig. 1.2 Illustration of FSO with three prime systems 1.1.2 The Transmitter: As there are three main systems in FSO and every system is designed to do a specific task. Now in first stage transmitter has to execute its crucial task of modulation of message which is originated by source and it must be compatible to travel through optical channel without any loss of signal and must be reached to destination point via atmosphere. The transmitter consist mainly four sub units  Transmitter Telescope  Driver Circuit  Modulator  Optical Source Modulator play very prime role and is accountable for proper conversion of initiated message so that it can be compatible with optical channel. OOK modulationtechnique is one of the fundamental schemes generally utilized in FSO for communications purpose. 1.2 Architectures of FSO: Designed system must be reliable, robust and should be compatible enough to work in any environment and configuration like ring topology, PTP, mesh topology, PMP and many more as per requirement. With time populations increasing exponentially so to meet the demand of people especially in metropolitan zone, vendors must assistwith all types of service with standard QoS band prepares their network as a giant and extend all the services to last person with FSO. 1.2.1 FSO Mesh Configuration: Figure 1.6 represent FSO mesh configuration which is made up of various sensing nodes coupleswith eachotherinseries with minute angle of lay-off. In this kind of configuration each node is coupled to each node of network directly or multiple hops in series. Fig. 1.6 Mesh architecture 1.2.2 FSO P2M Configuration: In this configuration there would be a single node which generate message and work as a server for other sensing nodes. This node is coupled with many nodes to which information will be shared. Figure 1.7 represent best suited technique of point to multipointconfigurationandsitesmust be close enough
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 678 Fig.1.7 point to multipoint architecture 1.2.3 Multiple PTP Architecture: Figure 1.8 layout multipoint PTP configurations and it is best suited for large scale network to manufacture sensible connection path. In this configurationthereissomestandard weather parameters must be in consideration during employment of this technique Fig.1.8 multiple PTP architecture 1.3 Challenges Encountered in FSO: FSO communication promises a very bright future in terms of its high data rate, immunity to electromagnetic interference (EMI) and security. 1.3.1 Atmospheric effects: There are various communicating channels exist according to signal properties. No channel exists till now who transmit information without any noise or disturbance. Definitely there would be some impact of channel on signalOptical Scattering  Optical Absorption  Index-of-Refractive Optical signals are impaired bythreeprimefactors whichare depicted below due to which signal strength becomes so lower and crucial information may be lost and that wouldbe tedious task to recover again in spite of robust receiver.  Absorption  Scattering  Refraction 1.3.2 Pointing, Acquisition and Tracking System: PAT techniques have been a serious challenge encountered in FSO. Typical FSO links require a transparent LOS among transceiver. 1.4 FSO Application: FSO communication system can be deployed in various domains of application like military, civilian [3]. Deep Space Probes: In mission like deep space investigation there are huge restriction on various parameters like mass, volume and power of onboard devices is severely limited and hence therefore size of antenna andtransmissionpower are also limited. According to, lasercom terminals for space investigation have much lower mass with respect to radio frequency unit [5]. Links involving Satellites: FSO path can be used in SC (satellite communications) to establish a global backbone network. Optical links which incorporate satellites provide very high quality service (Gigabits data) even to remote areas such as an island, a rural area or an isolated country. FSO Links involving satellites includes satellite to ground and air, ISL. Terrestrial Networks: FSO utilized in terrestrial networksto establish a PTP and line of sight optical connection between two transceiversthroughthe atmosphere.Propagationrange of light signal through atmospheric channel can be 100 m to 10 Km due to the LOS property. Since data rates of FSO are approximate to FO (fiber optic, this telecommunication pattern can be crucial for broadband internet access. 1.5 FSO Disadvantages: FSO is a LOS technology in which atmosphere play role of transmission medium. Therefore snow, rain, humidity, visibility, and various obstacles affect communication link.  Poor Weather  Physical Obstacles  Scintillation  Weather Conditions
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 679 Further Weather Condition classified into different section  Rain Condition:  Snow Condition:  Fog Condition 2.1 Objectives and Methodology In our research work based upon wavelength modulation spectroscopy (WMS) using tunable diode laser. WMS determine concentration, temperature and velocity of absorbing gaseous molecules. Our objective will be  MATLAB based Digital Lock-in amplifier technique for extraction of harmonics (1f & 2f), from the wavelength modulated optical absorption signal  MATLAB based program for calculating the oxygen concentration from1fand2f harmonics.Theoxygen concentration has been measured using MATLAB implemented digital lock-in-amplifier and concentration computation formula. The deviation in the measured Oxygen concentration from the actual Oxygen concentration supplied through the mass flow controllers is less than 1%.  WMS technique findsmajorapplicationinindustrial and scientific areas. An important component of sensors/systems based on these techniques is the phase sensitive detection for demodulation, in the form of hardware or software based lock-in amplifier. 2.2 Calibration-Free Wavelength-Modulation Spectroscopy This part depicts a method and implementation of calibration-free WMS that has been developed over the last several years for application in harsh environments. The section begins with a brief overview of traditional scanned- wavelength direct-absorptionspectroscopy.Thesubsequent calibration-free WMS discussion is divided into four parts  Relevant background  WMS measurement  WMS model  Comparison between thetwotoinfergasproperties 2.3 Scanned-Wavelength Direct-Absorption Spectroscopy For many years,tunable-diode-laser(TDL)direct-absorption spectroscopy has been the technique of choice for absorption-based measurements of gas parametersinharsh environments because of its simplicity, accuracy, and ability to make absolute measurements. The diode-laser injection current is tuned with a repetitive ramp waveform (or similar). This has the effect of repetitively ramping the laser intensity and the laser wavelength. If the nominal laser wavelength corresponds to a spectral. Figure 3.1 Schematic of scanned-wavelength direct- absorption spectroscopy with a tunable diode laser Absorption feature for a species present in the probed gas sample, the laser is tuned across the feature and results in a detector signal similar to the one shown (intensity vs. time). Here α denotes the absorbance, It is the transmitted laser intensity (i.e. the detector signal), and Io is the incidentlaser intensity (i.e. the baseline). The absorbance can be related back to the gas properties of a uniform absorbing medium through the following equation: where Sj(T) is the line strength at temperature T of absorption transition j, Pi is the partial pressureofthetarget species i, L is the path length of laser beam travel through the uniform absorbing medium, and φ j(ν) is the line shape function at frequency ν (referring to the optical frequency, which is inverse wavelength). The integrated absorbanceisdirectlyproportional tospecies partial pressure (and therefore concentration)andisrelated to the temperature of the absorbing gas by S(T), which is either measured under laboratory conditions or obtained from HITRAN [22].
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 680 For thermometry, the ratio of the integrated area of two absorption features is used. When the ratio is taken, the species partial 2.4 Wavelength-Modulation Spectroscopy Wavelength-modulation spectroscopy (WMS) is similar to direct-absorption spectroscopy, exceptthelaserwavelength is additionally modulatedwitha rapidsinusoid(atfrequency f). This attribute of WMS is particularly useful in harsh environments, and is demonstrated in Figure 3.2. A simple experiment was performed in which a laser was tuned to an absorption feature and the 2f and 1f signals were recorded as the laser beam was partially blocked (left panel), and the laser optics were periodically vibrated (rightpanel).Despite the large and rapid changes in the laser intensity (which affect both the 2f and 1f signals), the 1f-normalized, WMS-2f signal remains unchanged. Altogether, the benefits listed above yield a 2-100x improvement in SNR for WMS-2f over direct absorption, depending on the measurement conditions. Given these benefits over direct absorption, the technique has been applied to many harsh or difficult absorption measurements. Figure 3.2 Demonstration of 1f-normalization to account for laser intensity perturbations to the 2f signal, (a) the laser beam is increasingly blocked, and (b) the laser optics are periodically vibrated 2.4.1 WMS Measurement Figure 3.3 shows a schematic of a scanned-wavelength WMS measurement using a diode laser. Much like traditional scanned-wavelength direct-absorption measurements, the diode-laser injection current is tuned with a repetitiveramp waveform. Figure 3.3 Schematic of wavelength-modulation spectroscopy (1f-normalized, WMS-2f). Example data is water-vapor absorption measured in a scramjet combustor at WPAFB. The 2f signal is always positive due to the phase-insensitive lock-in approach taken in these experiments (described below). The slight distortion on the left side of the 2.5 Implemented Simulation Blocks Diagrams: Fig.3.4 Implemented Simulink block diagram Fig.3.5 Subsystem 1 of implemented Simulink block diagram
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 681 Fig.3.6 Subsystem 2 of implemented Simulink block diagram 3. Result and discussion 3.1 Software: MATLAB R2015a: Mat lab stands for matrix laboratory and is very powerful software which provides us various tool box and diverse virtual environment for executing different types of problem of different domain as per demand. With help of MATLAB, complex problems can be solved so effectively and rapidly with respect to our classic programming languages for example C, C++, and FORTRAN. 3.1.1. Matlab System In MATLAB there arefiveimportantsectionsavailablewhere research oriented work can be executed. Thesefivedomains are listed below:  MATLAB Scripting Language (.m file)  MATLAB Simulink Environment  Graphical User Interface (GUI)  Mathematical Function Library  Application Program Interface (API) 3.1.2. Matlab Simulink Matlab consist different working environment and out of them Simulation in Matlab play very prime role in any research. In this environment anyone can create virtual model before implementing in real life. 3.1.3. Fuzzy Logic System Fuzzy logic concept is not based on a control methodology, but process the large data by permitting partial set membership function rather than crisp set membership. Professor Zadeh gives the logic that people that they do not need so much accurate, numerical data input, and in spite of this able to control very accurately. Figure 4.2 Basic diagram of fuzzy logic for different MF Figure 4.3 air control fuzzy logic illustration Feedback controllers would be extremelyconstructive when programmed can be done in such a way that they accept noisy, un-specific input and gives optimized result. FL is a problem-solving control system methodology that lends itself to implementation ranging from simple, small, embedded micro-controllers to large, networked,
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 682 workstation-based data acquisition and control systems (DACS) in a system. It can be executed in software,hardware or integration of both. 3.2 Simulation Output: This section depicts the simulation result carried out Figure 4.5 Represents Intensity (W) v/s Time (ps) and Intensity (dBm) v/s Wavelength (nm) Figure 4.6 Represents 3D relationship between Intensity (W) v/s Pass Numbers and Time (0.1 ps) Figure 4.7 Harmonic Amplitude (dBm) and Wavelength (nm) Figure 4.8 Intensity (dBm) and Wavelength (nm) Figure 4.9 Second Harmonic Amplitude (V) and Time (ps) Figure 4.10 Normalized Excited state population N2 4.1 Conclusion: There are various optical absorption method exist to measure concentration of various gaseous.Earlierhardware systems are used to execute desired result but right now with help of different types of simulation desired resultscan be achieved. The experimental simulation process uses MATLAB to complete the gas absorptionprocessanda phase sensitive detection or demodulation code is developed in software based lock-in amplifier for the extraction of 1f and 2f harmonics using MATLAB and these harmonics are collected using the method of lock-in amplification. After locking the amplified signal, the larger weakened the higher amplitude of the fundamental signal, the resulting second
  • 8. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 683 harmonic signal to meet the gas detection requirements. we have shown the different graph of Intensity with respect to time and wavelength, we have also shown the3Ddiagram of intensity, Pass number and time. The result is obtained between 2nd harmonic and time and also for intensity. 4.2 Future Scope There are diverse techniques existed for optical absorption and prime concern of research is to fetch out tremendous result in term of second harmonics so that further these harmonics can be used for optimization. Now a day’s IoT, AI can be collaborated in optical absorption to get optimized result. As per demand of industry AI and IoT dominating technologies which will cover large part of application in every domain REFERENCES [1] M. A. Al-Habash, L. C. Andrews, and R. L. Philips, "Mathematical model for the irradiance probability density function of a laser propagating through turbulent media," Opt. Eng., vol. 40, no. 8, pp. 1554-1562,Aug. 2001 [2] X. Zhuand and L. Kahn, "Free space optical communication through atmospheric turbulence channels," IEEE Trans. Commun., vol. 50, no. 8, pp. 1293-1300, Aug. 2002 [3] X. Zhu and L. M. Kahn," Performance bounds for coded free-space Optical communications through atmospheric turbulence," IEEE Trans. Commun., vol. 51, no. 8, pp. 1233- 1239, Aug. 2003. [4] M. A. Naboulsi, H. Sizun, and F. de Fornel, "Fog attenuation prediction for optical and infrared waves", Opt. Eng., vol. 43, no. 2, pp. 319-329, Feb. 2004 [5] X. Wang and K. Kitayama, "Analysis of beat noise in coherent and incoherent time-spreading OCDMA," IEEE/OSA Journal of Light wave Technology ,vol. 22, no. 10, pp. 2226-2235, 2004. [6] T. H. Shake, "Confident performance of encoded optical CDMA", IEEE/OSA Journal of Light wave Technology,vol. 23, pp. 1652- 1663, 2005. [7] A. Ahmed and S. Hranilovic, "Outage Capacity Optimization for Free-Space Optical Links with Pointing Errors," IEEE Journal of light wave technology, vol. 25, no. 7, July 2007. [8] V. Jyoti and R. S. Kaler, "Performance analysis of one- dimensional and two-dimensional codes in optical Code division multiple access system", Department of Electronics & Communication Engineering, Thapar University, Punjab, India, 2009 [9] Hennes Henniger, Otakar Wilfert,“An Introduction to Free-space Optical Communications”,RadioEngineering, Vol. 19, No. 2, June 2010 [10] Ashish Kumar, Aakash Dhiman, Devender Kumar, Naresh Kumar, “Free Space Optical Communication System under Different Weather Conditions, IOSR Journal of Engineering (IOSRJEN), Vol. 3, Issue 12 (December. 2013), ||V2|| PP 52-58 [11] Ritesh A. Jadhav, Dattatraya S. Shitole, “Fiber Optics Communication And Applications”, International Journal of Innovative Research in Engineering & Science ISSN 2319- 5665(April 2013, issue 2 volume 4) [12] Francis Idachaba, Dike U. Ike, and Orovwode Hope, “Future Trends in Fiber Optics Communication, Proceedings of the World Congress on Engineering2014Vol I,WCE2014, July 2 - 4, 2014, London, U.K. [13] Bhanu Priya, “ PerformanceAnalysisofSACOCDMA-FSO System Using MD Codes”, International Journal of Hybrid Information Technology Vol.8, No. 5 (2015), pp. 187-194 [14] Mehtab Singh, “Simulative Analysis of 10 Gbps High Speed Free Space Optical Communication Link”, International Journal of Future Generation Communication and Networking Vol. 9, No. 3 (2016), pp. 139-144 [15] Mohamed Bouhadda, Fouad Mohamed Abbou, Mustapha Serhani, Fouad Chaatit and Ali Boutoulout, “Analysis of dispersion effect on a NRZ-OOK terrestrial free- space optical transmission system”, Journal of the European Optical Society-RapidPublications,Society-apidPublications (2016) 12:18 [16] Deeksha Jain, Dr. Rekha Mehra, “Performance Analysis of Free Space Optical Communication System for S, C and L band”, 2017 International Conference on Computer, Communications and Electronics (Comptelix) Manipal University Jaipur, Malaviya National Institute o/Technology Jaipur & IRISWORLD, July 01-02,2017 [17] Satea H. ALNAJJAR, Ammar A. Noori, and Arwa A. Moosa, “Enhancement of FSO Communications Links Under Complex Environment”, Photonic Sensors, 2017, DOI: 10.1007/s13320-017-0336-1 AUTHOR PROFILE MS. Rupa Sinha M.Tech. Scholar from Government Engineering College Ajmer. Dr. Rekha Mehra, working as Associate Professor Department of ECE in Government Engineering College Ajmer.