Enviar pesquisa
Carregar
journal
•
1 gostou
•
178 visualizações
S
subhashree krishnan
Seguir
Denunciar
Compartilhar
Denunciar
Compartilhar
1 de 5
Baixar agora
Baixar para ler offline
Recomendados
08 13085 performance analysis rv ed
08 13085 performance analysis rv ed
IAESIJEECS
System Level 5G Evaluation of GFDM Waveforms in an LTE-A Platform
System Level 5G Evaluation of GFDM Waveforms in an LTE-A Platform
Communication Systems & Networks
Iaetsd stbc-ofdm downlink baseband receiver for mobile wman
Iaetsd stbc-ofdm downlink baseband receiver for mobile wman
Iaetsd Iaetsd
Precoding
Precoding
Khalid Hussain
Performance evaluation of multicast video distribution using lte a in vehicul...
Performance evaluation of multicast video distribution using lte a in vehicul...
Communication Systems & Networks
Beamforming
Beamforming
madan mohan
GSM Cell planning and frequency reuse
GSM Cell planning and frequency reuse
Shashank Asthana
Design of 4x4 optical MIMO using spatial Modulation
Design of 4x4 optical MIMO using spatial Modulation
Sachin Talakeri
Recomendados
08 13085 performance analysis rv ed
08 13085 performance analysis rv ed
IAESIJEECS
System Level 5G Evaluation of GFDM Waveforms in an LTE-A Platform
System Level 5G Evaluation of GFDM Waveforms in an LTE-A Platform
Communication Systems & Networks
Iaetsd stbc-ofdm downlink baseband receiver for mobile wman
Iaetsd stbc-ofdm downlink baseband receiver for mobile wman
Iaetsd Iaetsd
Precoding
Precoding
Khalid Hussain
Performance evaluation of multicast video distribution using lte a in vehicul...
Performance evaluation of multicast video distribution using lte a in vehicul...
Communication Systems & Networks
Beamforming
Beamforming
madan mohan
GSM Cell planning and frequency reuse
GSM Cell planning and frequency reuse
Shashank Asthana
Design of 4x4 optical MIMO using spatial Modulation
Design of 4x4 optical MIMO using spatial Modulation
Sachin Talakeri
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
Communication Systems & Networks
MartinDickThesis
MartinDickThesis
Martin Dick
Relay lte
Relay lte
Ahmed Nasser Agag
PERFORMANCES OF ORTHOGONAL WAVELET DIVISION MULTIPLEX (OWDM) SYSTEM UNDER AWG...
PERFORMANCES OF ORTHOGONAL WAVELET DIVISION MULTIPLEX (OWDM) SYSTEM UNDER AWG...
IJCNCJournal
5G
5G
ali_jasim_ramadan
Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK
Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK
CSCJournals
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
Sukhvinder Singh Malik
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
IRJET Journal
Report :- MIMO features In WiMAX and LTE: An Overview
Report :- MIMO features In WiMAX and LTE: An Overview
Prav_Kalyan
Mimo [new]
Mimo [new]
Mokpo National University
Performance comparison of two clipping based filtering methods for papr reduc...
Performance comparison of two clipping based filtering methods for papr reduc...
ijmnct
Massive mimo
Massive mimo
Mustafa Khaleel
2015 08-31 kofidis
2015 08-31 kofidis
SCEE Team
LTE Physical Layer Transmission Mode Selection Over MIMO Scattering Channels
LTE Physical Layer Transmission Mode Selection Over MIMO Scattering Channels
IllaKolani1
Comparative performance analysis of different modulation techniques for papr ...
Comparative performance analysis of different modulation techniques for papr ...
IJCNCJournal
Gu2512391243
Gu2512391243
IJERA Editor
LTE Transmission Modes and BeamForming
LTE Transmission Modes and BeamForming
Praveen Kumar
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
BhaSkar Nath
Mathumathi
Mathumathi
malimano
OFDM
OFDM
Shubham Dhingra
Fancy Lights for Home - FosLighting
Fancy Lights for Home - FosLighting
Shri Prajapati
mizuco.com 085231867565
mizuco.com 085231867565
amandanurkamilah
Mais conteúdo relacionado
Mais procurados
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
Communication Systems & Networks
MartinDickThesis
MartinDickThesis
Martin Dick
Relay lte
Relay lte
Ahmed Nasser Agag
PERFORMANCES OF ORTHOGONAL WAVELET DIVISION MULTIPLEX (OWDM) SYSTEM UNDER AWG...
PERFORMANCES OF ORTHOGONAL WAVELET DIVISION MULTIPLEX (OWDM) SYSTEM UNDER AWG...
IJCNCJournal
5G
5G
ali_jasim_ramadan
Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK
Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK
CSCJournals
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
Sukhvinder Singh Malik
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
IRJET Journal
Report :- MIMO features In WiMAX and LTE: An Overview
Report :- MIMO features In WiMAX and LTE: An Overview
Prav_Kalyan
Mimo [new]
Mimo [new]
Mokpo National University
Performance comparison of two clipping based filtering methods for papr reduc...
Performance comparison of two clipping based filtering methods for papr reduc...
ijmnct
Massive mimo
Massive mimo
Mustafa Khaleel
2015 08-31 kofidis
2015 08-31 kofidis
SCEE Team
LTE Physical Layer Transmission Mode Selection Over MIMO Scattering Channels
LTE Physical Layer Transmission Mode Selection Over MIMO Scattering Channels
IllaKolani1
Comparative performance analysis of different modulation techniques for papr ...
Comparative performance analysis of different modulation techniques for papr ...
IJCNCJournal
Gu2512391243
Gu2512391243
IJERA Editor
LTE Transmission Modes and BeamForming
LTE Transmission Modes and BeamForming
Praveen Kumar
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
BhaSkar Nath
Mathumathi
Mathumathi
malimano
OFDM
OFDM
Shubham Dhingra
Mais procurados
(20)
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
MartinDickThesis
MartinDickThesis
Relay lte
Relay lte
PERFORMANCES OF ORTHOGONAL WAVELET DIVISION MULTIPLEX (OWDM) SYSTEM UNDER AWG...
PERFORMANCES OF ORTHOGONAL WAVELET DIVISION MULTIPLEX (OWDM) SYSTEM UNDER AWG...
5G
5G
Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK
Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
COMPARISON OF BER AND NUMBER OF ERRORS WITH DIFFERENT MODULATION TECHNIQUES I...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Report :- MIMO features In WiMAX and LTE: An Overview
Report :- MIMO features In WiMAX and LTE: An Overview
Mimo [new]
Mimo [new]
Performance comparison of two clipping based filtering methods for papr reduc...
Performance comparison of two clipping based filtering methods for papr reduc...
Massive mimo
Massive mimo
2015 08-31 kofidis
2015 08-31 kofidis
LTE Physical Layer Transmission Mode Selection Over MIMO Scattering Channels
LTE Physical Layer Transmission Mode Selection Over MIMO Scattering Channels
Comparative performance analysis of different modulation techniques for papr ...
Comparative performance analysis of different modulation techniques for papr ...
Gu2512391243
Gu2512391243
LTE Transmission Modes and BeamForming
LTE Transmission Modes and BeamForming
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Mathumathi
Mathumathi
OFDM
OFDM
Destaque
Fancy Lights for Home - FosLighting
Fancy Lights for Home - FosLighting
Shri Prajapati
mizuco.com 085231867565
mizuco.com 085231867565
amandanurkamilah
UNIFi and HavasMedia Case Study - Creating New Customer Value with Data
UNIFi and HavasMedia Case Study - Creating New Customer Value with Data
UNIFI Software
00_Schneider_Newsletter_April 2015
00_Schneider_Newsletter_April 2015
Nidhi Vats
What is Advance Java J2EE
What is Advance Java J2EE
javaease
Redefining the Role of IT in a Self-Help Data Integration Environment
Redefining the Role of IT in a Self-Help Data Integration Environment
UNIFI Software
Civil Engineer Resume
Civil Engineer Resume
Ravi Kumar
Physical Activity and Wellness at Mount Allison
Physical Activity and Wellness at Mount Allison
Matthew Kesthely
Cold Chain Equipment Manufacturers in India
Cold Chain Equipment Manufacturers in India
IndoSurgicals Pvt. Ltd.
Chap005
Chap005
wajahat hussain
Qcl 14-v3 [cause-effect diagram ]-[banasthali university]_[dhanishtha paliwal]
Qcl 14-v3 [cause-effect diagram ]-[banasthali university]_[dhanishtha paliwal]
Dhpali20171994
Frost & Sullivan Whitepaper: How to achieve and all IP platform using switch ...
Frost & Sullivan Whitepaper: How to achieve and all IP platform using switch ...
Antonio Pérez
CASO DE EXITO: Migración a Telefonía IP
CASO DE EXITO: Migración a Telefonía IP
Antonio Pérez
Урок математики 2 класс
Урок математики 2 класс
elenanazarovi4
Green environment power point template
Green environment power point template
dharmendrajangir65
occc_viewbook_2015_WEB
occc_viewbook_2015_WEB
Marc Tolen
Ashish Goel Resume
Ashish Goel Resume
Ashish Goel
What is VPN?
What is VPN?
Shri Prajapati
Destaque
(18)
Fancy Lights for Home - FosLighting
Fancy Lights for Home - FosLighting
mizuco.com 085231867565
mizuco.com 085231867565
UNIFi and HavasMedia Case Study - Creating New Customer Value with Data
UNIFi and HavasMedia Case Study - Creating New Customer Value with Data
00_Schneider_Newsletter_April 2015
00_Schneider_Newsletter_April 2015
What is Advance Java J2EE
What is Advance Java J2EE
Redefining the Role of IT in a Self-Help Data Integration Environment
Redefining the Role of IT in a Self-Help Data Integration Environment
Civil Engineer Resume
Civil Engineer Resume
Physical Activity and Wellness at Mount Allison
Physical Activity and Wellness at Mount Allison
Cold Chain Equipment Manufacturers in India
Cold Chain Equipment Manufacturers in India
Chap005
Chap005
Qcl 14-v3 [cause-effect diagram ]-[banasthali university]_[dhanishtha paliwal]
Qcl 14-v3 [cause-effect diagram ]-[banasthali university]_[dhanishtha paliwal]
Frost & Sullivan Whitepaper: How to achieve and all IP platform using switch ...
Frost & Sullivan Whitepaper: How to achieve and all IP platform using switch ...
CASO DE EXITO: Migración a Telefonía IP
CASO DE EXITO: Migración a Telefonía IP
Урок математики 2 класс
Урок математики 2 класс
Green environment power point template
Green environment power point template
occc_viewbook_2015_WEB
occc_viewbook_2015_WEB
Ashish Goel Resume
Ashish Goel Resume
What is VPN?
What is VPN?
Semelhante a journal
Bb2419581967
Bb2419581967
IJMER
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
inventionjournals
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
inventionjournals
Performance Analysis of OSTBC MIMO Using Precoder with ZF & MMSE Equalizer
Performance Analysis of OSTBC MIMO Using Precoder with ZF & MMSE Equalizer
IJERA Editor
Performance Analysis of 802.lln MIMO OFDM Transceiver
Performance Analysis of 802.lln MIMO OFDM Transceiver
IJERA Editor
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
IJERA Editor
Ijarcet vol-2-issue-7-2374-2377
Ijarcet vol-2-issue-7-2374-2377
Editor IJARCET
Ijarcet vol-2-issue-7-2374-2377
Ijarcet vol-2-issue-7-2374-2377
Editor IJARCET
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
rahulmonikasharma
A Review on Channel Capacity Enhancement in OFDM
A Review on Channel Capacity Enhancement in OFDM
paperpublications3
PID1063629
PID1063629
Abhishek Datta
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
International Journal of Technical Research & Application
bonfring asha.pdf
bonfring asha.pdf
Asha S Radha
Analyses and performance of techniques papr reduction for stbc mimo ofdm syst...
Analyses and performance of techniques papr reduction for stbc mimo ofdm syst...
ijwmn
Iaetsd adaptive modulation in mimo ofdm system for4 g
Iaetsd adaptive modulation in mimo ofdm system for4 g
Iaetsd Iaetsd
PERFORMANCE EVALUATION OF MC-CDMA SYSTEM OVER RAYLEIGH FADING CHANNEL
PERFORMANCE EVALUATION OF MC-CDMA SYSTEM OVER RAYLEIGH FADING CHANNEL
IJCSES Journal
Improvement of MFSK -BER Performance Using MIMO Technology on Multipath Non L...
Improvement of MFSK -BER Performance Using MIMO Technology on Multipath Non L...
theijes
Channel estimation for high data rate communication in mobile wi max system
Channel estimation for high data rate communication in mobile wi max system
IAEME Publication
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
IRJET Journal
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
IOSR Journals
Semelhante a journal
(20)
Bb2419581967
Bb2419581967
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Anal...
Performance Analysis of OSTBC MIMO Using Precoder with ZF & MMSE Equalizer
Performance Analysis of OSTBC MIMO Using Precoder with ZF & MMSE Equalizer
Performance Analysis of 802.lln MIMO OFDM Transceiver
Performance Analysis of 802.lln MIMO OFDM Transceiver
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
Ijarcet vol-2-issue-7-2374-2377
Ijarcet vol-2-issue-7-2374-2377
Ijarcet vol-2-issue-7-2374-2377
Ijarcet vol-2-issue-7-2374-2377
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
BER Analysis of OFDM Systems with Varying Frequency Offset Factor over AWGN a...
A Review on Channel Capacity Enhancement in OFDM
A Review on Channel Capacity Enhancement in OFDM
PID1063629
PID1063629
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
BER PERFORMANCE ANALYSIS OF OFDM IN COGNITIVE RADIO NETWORK IN RAYLEIGH FADIN...
bonfring asha.pdf
bonfring asha.pdf
Analyses and performance of techniques papr reduction for stbc mimo ofdm syst...
Analyses and performance of techniques papr reduction for stbc mimo ofdm syst...
Iaetsd adaptive modulation in mimo ofdm system for4 g
Iaetsd adaptive modulation in mimo ofdm system for4 g
PERFORMANCE EVALUATION OF MC-CDMA SYSTEM OVER RAYLEIGH FADING CHANNEL
PERFORMANCE EVALUATION OF MC-CDMA SYSTEM OVER RAYLEIGH FADING CHANNEL
Improvement of MFSK -BER Performance Using MIMO Technology on Multipath Non L...
Improvement of MFSK -BER Performance Using MIMO Technology on Multipath Non L...
Channel estimation for high data rate communication in mobile wi max system
Channel estimation for high data rate communication in mobile wi max system
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
Sparse channel estimation by pilot allocation in MIMO-OFDM systems
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
journal
1.
IEEE Sponsored 2nd
International Conference on Innovations in Information Embedded and Communication Systems ICIIECS’15 Improvement in Channel Capacity Using MIMO OFDM System for Radio Propagation in Ocean Vessels Mrs.Janci Rani1 , Dr.TRV.Anandharajan2 , S.Pavithra3 , M.B.Subhashree4 , A.Thilagavathy5 Department of Electronics and Communication Engineering Velammal Institute of Technology, Panchetti 601204 1 janci_ranii@yahoo.in, 2 trvanandharajan@gmaill.com, 3 pavisubbiah@gmail.com, 4 subhashreekrishnanmb@gmail.com,5 thismijjarumugam@gmail.com. Abstract: Immensely robust Spatial Frequency Block Coding (SFBC), Multi Input Multi Output antennas–Orthogonal Frequency Division Multiplexing (MIMO–OFDM) Schemes in a Rayleigh fading channel have been proposed, along with the Selective Mapping (SLM) which is utilized to obliterate the Peak to Average Power Ratio (PAPR) in OFDM, which increases the channel capacity and signal reliability in spite of reflections caused due to metals. A metallic environment acts as defiance for wireless networks as it leads to great attenuation of signals predominantly, in below-deck compartments in the ship. The metallic partitions of the ship cause multiple reflections. The paper measures four different OFDM based schemes in below- deck spaces of ship and compares various techniques and their efficiency have been estimated. Index terms- channel capacity MIMO OFDM Rayleigh fading channel Signal reliability I. INTRODUCTION Metal structures of ocean vessels constitute diversified environments which results in noticeable challenges in establishing wireless networks. The objective of this paper is replacing wired network by wireless network in below deck spaces of ship in Rayleigh fading channel and there by manifesting improvement in capacity, signal integrity and reliability, that can be accomplished through the use of OFDM (Orthogonal Frequency Division Multiplexing) and multi antenna techniques with higher modulation technique Quadrature Amplitude Modulation (QAM). OFDM is the best multi-carrier modulation technique for transmitting signals in an unguided medium. A huge number of tightly spaced orthogonal subcarriers are used to consign several sequences of parallel data and the guard intervals are lodged between the symbols to get rid of the intersymbol interference (ISI). The spectrum of all the subcarriers in a symbol has a void spectrum at the mid frequency of all the other subcarriers within the symbol. Hence intercarrier interference (ICI) is quashed. Multi Input Multi Output (MIMO) signaling techniques enhances wireless transmissions which exploits the spatially correlated fading of wireless channels common in diversified environments. Multi-antenna signaling techniques, including ( 2 × 2) Alamouti Space Frequency Block Coding(SFBC) and ( 2 × 2 )Multiple-Input-Multiple-Output Spatial Multiplexing (MIMO-SM), were estimated with the capabilities of (1 × 2)Maximal Ratio Combining (MRC) and a traditional Single-Input-Single-output (SISO) technique respectively. Shannon channel capacity and Estimation of the Post-Processing Signal-to-Noise-Ratio (PP-SNR) are derived. Since we are analyzing MIMO-OFDM techniques in ocean vessel, it is essential to discuss its exhaustive literature survey. II. RELATED WORKS The Study of OFDM-MIMO technology in flat fading channel was developed in [1] to improve the channel capacity in below deck environments. They presented a feasibility study of a Wireless Network by comparing Ultra wideband channel measurements within the hull of a ship. These measurements were used to designate the propagation within single chamber as well as through a locked abutment door[4] .The main application of the study was to investigate the telecommunication systems on board, for both commercial and security purpose, which was demonstrated in the aboard trains with the help of propagation channels[3] .The design and optimization of mobile radio networks operating at Very High Frequency(VHF)& Ultra High Frequency (UHF) bands with brief look at microwave links, sometimes used for backhaul[10] .The characterization of Line of sight(LOS) and Non Line of sight (NLOS) link were performed over military. Ultra High Frequency band (225-450 MHz) which was introduced in merchant ship[5] . To intensify the channel capacity, we need high data rate and signal reliability which is achieved by the following proposed system III. PROPOSED SYSTEM Fig. 1 Rise in channel capacity using QAM, Alamouti SFBC techniques in Rayleigh fading channel International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.20 (2015) © Research India Publications; http://www.ripublication.com/ijaer.htm 17802
2.
IEEE Sponsored 2nd
International Conference on Innovations in Information Embedded and Communication Systems ICIIECS’15 As in Fig.2, The digital input in bits is converted in to blocks in encoding process. The modulation scheme used here is OFDM in turn the subcarrier modulation employed is QAM. The original data source is converted in to parallel streams of data by serial to parallel converter and IFFT (Inverse Fast Fourier Transform) is performed to convert frequency domain to time domain for easy implementation purpose. It is carried via Rayleigh fading channel by MIMO techniques and antithetical operations are performed in receiver to obtain the original data. There are four proposed techniques to increase the channel capacity which is given below. Fig. 2 Functional diagram that portrays OFDM-MIMO systems in Rayleigh fading channel G/R- GENERATED ENCODE-ENCODING RX-RECEIVED DECODE-DECODING DEMOD- DEMODULATION A) Extensive Modulation technique: 16-QAM Technique has been done to transmit two digital messages by varying the amplitude of two carriers .The carriers used are sine and cosine waves which are 90 degree phase shifted with each other. Consequently, the name Quadrature carriers. The sum of modulated waves results in both Amplitude Shift Keying (ASK) and Phase Shift Keying (PSK).Inflated Spectral efficiency can be achieved for constellation size and intensification in bit rate. B) Diversity Coding Technique: Alamouti Spatial Frequency Block Coding: In SFBC-OFDM, a single data sequence a = [a0,a1,a2,…,aN-1] which is obtained from previous modulation scheme , given to standard Alamouti SFBC encoder where the output is mapped as follows Each row is buffered to form N symbols, Where b1 =[a0,-a1 * ,a2,-a3 * .......aN-2,-aN-1 * ] b2 =[a1,a0 * ,a3,a2 * ……,aN-1,aN-2 * ] . b1 is carried via through antenna 1 and b2 is carried via antenna 2.[8] SFBC performs better than STBC at high movability. The performance degradation of Space Time Block Coding (STBC) is primarily from the ISI, due to time selectivity of the channel in an Alamouti code block at high mobility. The performance of STBC and SFBC is evaluated using Minimum Mean Square Error (MMSE) decoder. This decoder can reduce ISI in Alamouti Block. But, still the performance of SFBC is better than STBC by 0.5dB [6] and thus increases signal reliability. C) To assess the potential of OFDM physical layers, Rayleigh fading channel is used. When the passage between the transmitter and receiver is a deviating track, then the multipath elements of the fading channel can be expressed using Rayleigh distribution in fading channels. The acquired signal is explained by: r(t) = s(t)*h(t) + n(t) Where s (t) is transmitted signal, h(t) is the channel matrix following Rayleigh distribution and n(t) is the additive white Gaussian noise. Rayleigh fading has the variance of 2б2 and envelope x. The variance is same as the sum of two Gaussian processes whose standard deviation is б. The probability density function (PDF) of Rayleigh Distribution is: Where the time-mean power of is received. The derivation of channel capacity from the signal power and noise power is as follows. D) Selective Mapping (SLM) is used in OFDM to expunge PAPR The SLM with IFFT is proposed over SLM with Inverse Discrete Fourier Transform (IDFT) because of the disadvantages associated with the IDFT such as the poor energy compaction and intricacy. As a result of it, the PAPR is extirpated. IV.MATHEMATICAL MODEL The amount of noise present is represented in terms of its mean noise power (as shown in 1) DATA G/R ENCODE QAM S/P IFFT MIMO DATA RX DECODE DEMOD P/S FFT RAYLEIGH FADING CHANNEL International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.20 (2015) © Research India Publications; http://www.ripublication.com/ijaer.htm 17803
3.
IEEE Sponsored 2nd
International Conference on Innovations in Information Embedded and Communication Systems ICIIECS’15 ………. (1) R = characteristic impedance of the channel or system VN =Root Mean Square (RMS) noise voltage. S = V2 S/R, average signal power VS = signal’s RMS voltage. The transmitted power is given in (2) …(2) Typical combined RMS voltage is given in (3) .. (3) Therefore, combined signal and noise will generally be confined to a voltage range ± ŋVT . Now dividing this range into 2b bands of equal size. Hence each of these bands will cover as shown in (4) ..(4) Noise will randomize the actual voltage as in (4), which tend to make additional bits absurd. Thus maximum number of bits of information obtained is (5) …(5) This can be rearranged as shown in equation (6) …..(6) As shown in equation (7), where M is obtained from b= bit measurements of the level in a time (T) then the total amount of information(H) collected in bits is …(7) The information transmission rate, I, bits per unit time, will be given in (8) ….(8) From the Sampling Theorem, a channel of bandwidth B has the highest practical sampling rate. Hence M/T is given as shown below in (9) M/T = 2B … (9) Combining the equation (8) and equation (9), we obtain equation (10). This expression represents Shannon channel capacity. It is interpreted as the maximum rate at which the data can be reliably carried via channel. For a flat fading channel, the capacity is defined as in (11) …(11) PTX is transmit power, |h| is the complex channel gain, and N0 is the noise power in the channel. For an OFDM link with k subcarriers, there are K narrowband Rayleigh fading channels as shown in (12) … (12) For MIMO the above expression is expanded as given below in (13) .(13) Where PTX is transmit power, |h| is the complex channel gain, N0 is the noise power in the channel. The channel capacity becomes the addition of the capacities of each subcarrier. This increased channel capacity in ocean vessel is visualized as given below. V. SIMULATION SCENARIO The Engine room and Coupled Compartments are selected for the experiment. A) Engine Room International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.20 (2015) © Research India Publications; http://www.ripublication.com/ijaer.htm 17804
4.
IEEE Sponsored 2nd
International Conference on Innovations in Information Embedded and Communication Systems ICIIECS’15 The reason for selecting engine room for the experiment is that it is a congested place which is a complete metallic environment. Since the scattering of signal is more, the anticipated probability of debacle of a signal is extreme. Additionally, the key reason for selecting engine room is that it is necessary to collect the status of the vital machinery spaces in the engine room. B) Coupled Compartment The reason to consider the coupling compartments is to demonstrate the effect of opening doors and closing doors in signal integrity. After simulating the process, results obtained are discussed below. VI .RESULTS AND DISCUSSION As far as result been concerned, MIMO over SISO techniques and Alamouti over MRC, in Engine room have been implemented. A. Engine Room The average capacity of each technique can be shown in the graph in terms of Signal to noise ratio. Out of these techniques Independent Identically Distributed (I.I.D) has highest theoretical gain and it is used for reference. Decorrelation in channel makes MIMO to improve performance than SISO. PP-SNR of Alamouti (SFBC) coding is increased than MRC due to the addition of diversity gain. BER (Bit Error Rate) performance of (2 × 2) Alamouti and (2 × 1) MRC in Rayleigh Fading channel is also implemented. Fig.3 Analysis of performance in capacity for MIMO SM and SISO techniques In Fig.3, for SNR of 14dB, the capacity for SISO is 0.3 bps/Hz and our proposed method MIMO-SM has the capacity of 0.5bps/Hz.The IID,maximum theoratical gain is around 1 and hence there is a efficiency of 60% and for Received SNR 18dB, the capacity for SISO is 1.2bps/Hz and for MIMO-SM is 1.3bps/Hz and the maximum theoratical gain is 2bps/Hz(IID). Hence the obtained efficiency is 92%. Fig.4 Analysis of performance in capacity for ALAMOUTI (SFBC) and MRC techniques In Fig.4, for SNR of 14dB, the capacity for MRC is 0.8bps/Hz and for our proposed system is 1.0bps/Hz. Hence, the obtained efficiency is 80%.For, the Received SNR 18dB, the Channel Capacity for MRC is 1.4bps/Hz and for Alamouti is 1.6bps/Hz. Hence, the obtained efficiency is 87%. It has been observed that Alamouti at low SNR has double data rate when compared to the above four techniques Fig.5 Analysis of BER performance of SISO, MRC, Alamouti (SFBC) techniques in Rayleigh Fading Channel. In Fig.5, there is a linear decrease in BER for SISO, whereas for the MIMO, there is a exponential decrease of BER which proves that MIMO performs better than SISO. VI. CONCLUSION It has been observed that the channel capacity and signal reliability has been improved through OFDM-MIMO techniques albeit strenuous situation. Estimation of Shannon International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.20 (2015) © Research India Publications; http://www.ripublication.com/ijaer.htm 17805
5.
IEEE Sponsored 2nd
International Conference on Innovations in Information Embedded and Communication Systems ICIIECS’15 channel capacity demonstrates that multipath scattering can be exploited by MIMO spatial multiplexing and data rate gets doubled through Alamouti (SFBC) techniques, thereby increasing channel capacity .OFDM with SISO technique in Rician fading channel can be implemented in future. REFERENCES [1]Kevin Wanuga, Ryan Measel, Christopher S. Lester, Donald J. Bucci, David Gonzalez, Richard Primerano, Moshe Kam, and Kapil R. Dandekar,”Performance evaluation of mimo-ofdm in on ship below deck environment,” in Antennas and Wireless Propagation Letters, IEEE,2014,pp 173-176 [2]X. H. Mao, Y. H. Lee, and B. C. Ng, “Study of propagation over two ends of a vessel in VHF band,” in Proc. Asia-Pacific Microw. Conf., Dec. 2010, pp. 1946–1949. [3] Andrea Mariscotti, Attilio Marrese, Nicola Pasquino, Rosario Schiano Lo Moriello,”Characterization of the Propagation Channel aboard Trains” in Measurements and Networking Proceedings (M&N), 2013 IEEE International Workshop,IEEE,2013,pp 195-199 [4] D. Estes, T. Welch, A. Sarkady, and H. Whitesel, “Shipboard radio frequency propagation measurements for wireless networks,” in Proc. Military Commun. Conf., 2001, vol. 1, pp. 247–251. [5] Xiao Hong Mao, Yee Hui Lee,”UHF Propagation Along a cargo hold on board a merchant ship” in Wireless Communications, IEEE Transactions 2013,pp 22-30. [6] Keonkook Lee,Youngok Kim,Namjeong Lee,Joonhyuk Kang,”Adaptive switching between space-time and space-frequency block coded OFDM systems “ in Military Communications Conference, 2008,pp 1-5. [7]S. Loyka and G. Levin, “On physically-based normalization of MIMO channel matrices,” in IEEE Trans. Wireless Commun., vol. 8, no. 3, pp. 1107–1112, Mar. 2009. [8] R. Heath and A. Paulraj, “Switching between diversity and multiplexing in MIMO systems,”IEEE Trans. Commun., vol. 53, no. 6, pp. 962–968, Jun. 2005. [9]T. Bronez and J. Marshall, “Shipboard experiments for a multi hop 802.11communications syste [10] Adrian W.Graham,Nicholas C.Kirkman and Peer M.Paul “Mobile Radio Network Design in the VHF andUHF Bands”,USA International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.20 (2015) © Research India Publications; http://www.ripublication.com/ijaer.htm 17806
Baixar agora