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International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
        INTERNATIONAL JOURNAL OF ELECTRONICS AND
  0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME
COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)
ISSN 0976 – 6464(Print)
ISSN 0976 – 6472(Online)
Volume 4, Issue 2, March – April, 2013, pp. 144-150
                                                                            IJECET
© IAEME: www.iaeme.com/ijecet.asp
Journal Impact Factor (2013): 5.8896 (Calculated by GISI)                  ©IAEME
www.jifactor.com




    PREDICTION OF VIABLE PERFORMANCE OF WIRELESS SENSOR
      NETWORK BY USING FINITE-DIFFERENCE TIME-DOMAIN

                                 S.R.Shankar a, Dr.G.Kalivarathanb
                       a
                        Research Scholar, CMJ University, Meghalaya, Shillong.
     b
         Principal/ PSN Institute of Technology and Science, Tirunelveli, Tamilnadu, Supervisor,
                      CMJ University, Shillong. Email:sakthi_eswar@yahoo.com


   ABSTRACT

           Wireless Sensor Networks (WSNs) offer a promising solution to monitor the physical
   world around us. A WSN is comprised of a large number of sensing devices, often referred to
   as motes or sensor nodes, which are deployed at the region of interest. The wireless sensor
   nodes have processing and communication capabilities, which enable them to autonomously
   gather information from the environment and then to generate and deliver “report-messages”
   to the remote base stations (remote users). The economic benefits of WSNs are mainly due to
   the exclusion of expensive infrastructure required by the wired sensor networks. The Finite-
   Difference Time-Domain (FDTD) method introduced powerful tool for solving various
   electromagnetic (EM) problems. The development of a 3-D FDTD method for planar devices
   is presented in this work. This method offers an accurate design technique for new type of
   microstrip filters. A signal estimation technique was developed in order to reduce the FDTD
   computation time. By using this signal estimation technique, the number of FDTD iterations
   was reduced up to five times. A design algorithm uses FDTD and Neural Networks. This is
   much faster than the FDTD method alone. Mobile communications systems require preselect
   filters with enhanced properties. This work presents the research on novel microstrip filters.
   The technology required by the newly developed filters is economical, no short-circuit
   elements and no lumped components are needed. The designs can be easily extended for
   planar HTS technology. An emphasis is put on the development of dual mode filters and
   filters with cross-coupled novel resonators. This introductive section presents the work on
   low-pass and band-pass conventional filters.

   Keywords: Finite-Difference Time-Domain, Mobile communications, Resonator, Microstrip,
   Dual mode resonators



                                                  144
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME

1.0 INTRODUCTION

        The FDTD signal excitation contains a voltage source below the microstrip line. The
signal needs to propagate a certain distance along the line to let the transient modes to vanish
and reach their true modal nature. In order to minimize the computational domain, the pulse
propagation along a simple input microstrip line is first simulated. After the signal acquires
the correct transversal profile, the pulse is copied at the input of the microstrip device in order
to be analyzed. The same input signal can be used in several simulations of various planar
structures with the substrate and the FDTD grid not changed. FDTD method allows the
analysis of the electromagnetic field in the planar structure at different time instances. As
expected, the FDTD simulations expose the concentration of the electromagnetic energy just
underneath the microstrip lines and patches. The analysis in time domain, easily illustrates
the incident, reflected and transmitted signals. For example, the plot of the electric field
component Ez the propagation of a pulse along a bent microstrip line. After 550 time steps,
the incident pulse is still on the input line. After additional 400 time steps (∆t =0.27 ps), the
pulse turned left, and propagated along a wider microstrip.

2.0 DISPERSION EFFECTS

        The fundamental propagation mode for the microstrip line is considered as
approximating the Transversal Electric and Magnetic (TEM) mode, when the fields are
oscillating only in a perpendicular plane on the direction of propagation. For an ideal TEM
mode, not including the material effects, the pulse should not encounter any dispersion. In
practice, the microstrip properties are considered frequency independent for a frequency
bandwidth up to 2 GHz, when designing on low (εr=2.55) dielectric constant substrate.
However, the dispersion effect increases with the increase of the dielectric constant and the
working frequency. The FDTD simulations clearly illustrate the dispersion effects in time
domain. The Ez field just underneath a straight microstrip line versus time at different
locations. The distances y from the source plane to the measuring points are given in ∆y units.
In this case, the substrate was alumina (Al2O3) having a dielectric constant εr=8.88 and
thickness h=0.535 mm. The 50           line width was w50=0.546 mm. The FDTD grid had
∆x=∆y=0.5636 mm and ∆z=0.127 mm. The time step ∆t=0.27 ps and the incident Gaussian
pulse had T=28 ∆t in width and T0=4 T as initial delay. While at the source position, the
pulse is an undistorted Gaussian, after propagating a certain distance, the amplitude decreases
and the pulse broadens with a strong negative tail. Since the dielectric layers were considered
non-dispersive and the numerical dispersion of FDTD is negligible, the pulse distortion
observed along a microstrip line is intrinsic to the fundamental “Quasi-TEM” propagating
mode.

3.0 FDTD ANALYSIS OF DIFFERENT TYPES OF MICROSTRIP DEVICES

        Several microstrip devices have been analyzed to verify accuracy of the developed
FDTD method. The method was applied to numerous microstrip devices manufactured on
substrates having different values for dielectric constant and thickness. In some simple cases,
the simulated scattering S parameters were compared with the S parameters provided by
commercial software. In other cases, the simulated response was compared with
measurements or data taken from literature. A linear low impedance resonator on a substrate
a dielectric constant of εr=2.38 and a thickness of h=0.71 mm was simulated using the
                                               145
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME

developed FDTD method. The 50 line had the width of w50=1.87 mm. The resonator line
width was wreson=3.07 and the resonator length was lreson=15.54 mm. For such a simple
device, a commercial software, such as Touchstone, modeled the step discontinuities and
could provide accurate S parameters.

4.0 GAP END COUPLED LINEAR RESONATOR

        An end coupled linear resonator presents a higher overall quality factor (Q-factor)
than the linear low impedance section discussed above. Consequently, the output signal
decays slowly and the FDTD simulation requires a large number of time steps to complete
the simulation. The gap end coupled linear resonator was designed as having the line width
wreson=w50= 0.61 mm, the length lreson=10 mm and the coupling gap s=0.3 mm. The used
substrate had dielectric constant of εr=9.98 and thickness of h=0.635 mm. The used FDTD
grid had ∆x=∆y=0.1525 mm and ∆z=0.127 mm and the time step was ∆t=0.27 ps.

5.0 DUAL MODE RESONATORS AND FILTERS

        Dual mode resonators (DMR) are resonators perturbed in such a way that two
resonating modes, initially degenerate, can couple each other. A DMR offers a dual mode
filter (DMF) behavior, when certain conditions on the input and output couplings are
satisfied. A planar design of dual mode filters was presented using λ meander resonators. A
resonator forms a 2-pole filter and consists of a meander loop with the input and output
structures, two optional stubs for independent tuning of the resonant frequencies of the
orthogonal modes, and a stub providing a coupling between modes. Two types of filter are
possible depending on the stubs location. For the symmetric filter, the stub is located on the
AA' plane in Fig. 4.5 and the frequency response has two transmission zeros located on both
sides of the passband. The asymmetric filter has the stub on BB' plane and does not present
any transmission zero. Four pole elliptic filters, also exhibit transmission zeros, but, unlike in
the 2-pole symmetric filter, the position of the zeros can be fully controlled. Each of these
two rings has three lines attached: an input (or output) line, a line providing major coupling
between rings, and a line providing minor coupling. Moreover, each ring has a stub for tuning
of the center frequency of one of the modes and obviously a stub providing coupling between
orthogonal modes. The input/output structure can be realized in many ways, but for
optimized sensitivity they have been carried out as sections of coupled transmission lines.
Coupling between rings have been realized by using capacitive gaps. The lines between rings
and coupling elements provide appropriate transformations from the gaps or in/out structures
as well as a spatial separation between rings.

6.0 QUASI FRACTAL DUAL MODE RESONATORS

        The DMF patch filters have good power handling properties but they occupy a larger
surface area. In order to reduce the patch size, a technique from microstrip antenna design
was borrowed. When slots are cut in the square patch, The perturbation required for the dual
mode effect is provided by the slots’ asymmetry. The coupling between the modes can be
controlled by the difference in the length of the diagonal slots. For the tuning configuration in
Fig. 4.26a, the insertion loss decreased to approximately 12 dB. The filter presents two
transmission zeros on each side of the pass-band


                                               146
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME

7.0 RESULTS

       The dispersion effect increases with the increase of the dielectric constant and the
working frequency. The FDTD simulations clearly illustrate the dispersion effects in time
domain. The dispersive effects increase with frequency, therefore these absorbing boundary
conditions gave spurious numerical reflections at higher frequency.




               Figure1. The pulse is guided by the microstrip line along Oy axis




           Figure2. The pulse changes direction after a mittered corner and reaches
                                     Wider microstrip



                                             147
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME

The accuracy and the consistency of the present developed FDTD method were proved by
comparing the results of a simulation on a meander line to the measurements. The performed
numerical experiments showed that a straight transition from the lumped source to the
microstrip line provides a better matching than using a tapered line.




 Figure3. Calculated S21 (dotted line) and S11 (continuous line), and measured, S11 (*) for a
              meander line on Al2O3 with εr=9.98, h=0.635 mm, w = 0.61 mm

The decimation of y2 with the desampling rate desra=200 corresponded to an increase in the
time step. The very small FDTD time step was required by the stability Courant criterion, but
it could cause a coarse frequency step, when translated in frequency domain. The signal y3
resulted from decimation was provided to the ARMA algorithm. The obtained ARMA
coefficients could be considered as the coefficients of an Infinite Impulse Response (IIR)
filter, which could identify the estimated signal. In this case, the order of the IIR filter was K
= M = 16.




         Figure4. S parameters (in dB) versus frequency (GHz) of the meander loop
                                     Dual mode filter

                                               148
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME

8.0 CONCLUSION

        Dual mode filters (DMF) can offer a solution when a narrow band is desired. Open
loop and patch DMF are investigated and DMF for GSM / GPRS bands are designed. A
novel quasi-fractal resonator is developed in order to reduce the square DMF patch size.
Filters with cross-coupled resonators are investigated due to their ability to show generalized
Chebyshev (or quasi-elliptic) response. Filters with cross-coupled open half-wavelength
loops are designed. For mobile communications bands, the simply half-wavelength resonators
are inconveniently long, therefore novel type of resonators are developed. Original theoretical
principles of size reducing for these resonators are presented. The newly developed filters
take up to 32% of the surface of a simple square half-wavelength resonator, both being
designed for 900 MHz. The coupling coefficients of the novel resonators, function of their
relative positions are obtained using the 3D-FDTD method. The external quality factor
functions of the input / output line positions are obtained in the same way. An iterative
ARMA signal estimation technique was developed in order to reduce the FDTD computation
time. This is of importance especially in the case of the analysis of narrowband resonating
structures. Therefore, with the present technique, the required number of iterations can be
reduced up to five times, keeping the same accuracy of the results. Finally, a new design
technique using FDTD method and Neural Networks was developed and applied to a
microstrip filter. The total design time was reduced twofold. The ARMA signal estimation
technique was first utilized to reduce the computation time for each FDTD run. Secondly, the
number of FDTD simulations was decreased using the device model provided by a neural
network with the ARMA coefficients at the output. The trained network was then
incorporated in an optimization procedure for a microstrip filter design.

REFERENCES

[1] M. G. Banciu, E. Ambikairajah, R. Ramer, “Microstrip Filter Design Using FDTD and
Neural Networks”, Microwave and Optical Technology Letters, vol. 34, No. 3, August 5,
2002, pp. 219-224.
[2] M. G. Banciu, R. Ramer, “Analysis of Microstrip Circuits Using a Finite Difference
Time-Domain”, Proceedings of the 4th World Multi conference on Circuits, Systems,
Communications and Computers, Proceedings CSCC 2000,
Vouliagmeni, Greece, July 2000, ISBN 960-8052-19-X, pp. 4611-4615
[3] M. G. Banciu, R. Ramer, “Analysis of Microstrip Circuits Using a Finite Difference
Time-Domain”, in Advances in Physics, Electronics and Signal Processing Applications,
edited by N. E. Mastorakis, World Scientific and Engineering Soc.Press, Danvers, MA, 2000,
ISBN: 960-8052-17-3, pp. 156-160
[4] E. H. Fooks, R. A. Zakarevicius, “Microwave Engineering Using Microstrip Circuits”,
Prentice Hall, 1989
[5] R. L. Veghte, C.A. Balanis, Dispersion of Transient Signals in Microstrip Transmission
Lines, IEEE Trans. Microwave Theory Tech., Vol. MTT-34, No. 12, 1986, pp. 1427-1436
[6] HP-Eesof Microwave & RF Circuit Design – Circuit Element Catalog, HewlettR-Packard,
March 1994
[7] M. G. Banciu, R. Ramer, “Design of Microstrip Dual Mode Filters Using Finite
Difference Time-Domain Method”, Proceedings of the Asia-Pacific Microwave Conference –
APMC 2000, December 2000, Sydney, vol. 1, pp. 975-978


                                             149
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME

[8] A. C. Kundu, I. Awai, T. Kajitani, "Attenuation pole frequency control of a dual mode
circular microstrip ring resonator", 29th European Microwave Conference 99. Incorporating
MIOP '99. Conference Proceedings. Microwave Eng. Eur. Part vol.2, 1999, pp.329-32 vol.2.
London, UK.
[9] I. Awai, “General Theory of a Circular Dual-Mode Resonator and filter”, IEICE Trans.
Electron., vol. E81-C, November 1998, pp.1757-1763
[10] A. C. Kundu, I. Awai, “Control of Attenuation Pole Frequency of a Dual-Mode
Microstrip Ring Resonator Bandpass Filter“, IEEE Transactions on Microwave Theory and
Techniques, vol. 49, 2001, pp. 1113-1117
[11] T.Regu and Dr.G.Kalivarathan, “Prediction of Wireless Communication Systems in the
Context of Modeling” International journal of Electronics and Communication Engineering
&Technology (IJECET), Volume 4, Issue 1, 2013, pp. 11 - 17, ISSN Print: 0976- 6464,
ISSN Online: 0976 –6472
[12] Neeraj Tiwari, Rahul Anshumali and Prabal Pratap Singh, “Wireless Sensor Networks:
Limitation, Layerwise Security Threats, Intruder Detection”, International journal of
Electronics and Communication Engineering & Technology (IJECET), Volume 3, Issue 2,
2012, pp. 22 - 31, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472
[13] T.Regu and Dr.G.Kalivarathan, “Prediction of a Reliable Code for Wireless
Communication Systems” International Journal of Electrical Engineering & Technology
(IJEET), Volume 4, Issue 1, 2013, pp. 19 - 26, ISSN Print : 0976-6545, ISSN Online:
0976-6553
[14] Varun Shukla, Arti Saxena and Swati Jain, “A New Rectangular Dielectric Resonator
Antenna Compatible for Mobile Communication or Broadband Applications”, International
journal of Electronics and Communication Engineering &Technology (IJECET), Volume 3,
Issue 2, 2012, pp. 360 - 368, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472




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Prediction of viable performance of wireless sensor network by using finite

  • 1. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN INTERNATIONAL JOURNAL OF ELECTRONICS AND 0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) ISSN 0976 – 6464(Print) ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April, 2013, pp. 144-150 IJECET © IAEME: www.iaeme.com/ijecet.asp Journal Impact Factor (2013): 5.8896 (Calculated by GISI) ©IAEME www.jifactor.com PREDICTION OF VIABLE PERFORMANCE OF WIRELESS SENSOR NETWORK BY USING FINITE-DIFFERENCE TIME-DOMAIN S.R.Shankar a, Dr.G.Kalivarathanb a Research Scholar, CMJ University, Meghalaya, Shillong. b Principal/ PSN Institute of Technology and Science, Tirunelveli, Tamilnadu, Supervisor, CMJ University, Shillong. Email:sakthi_eswar@yahoo.com ABSTRACT Wireless Sensor Networks (WSNs) offer a promising solution to monitor the physical world around us. A WSN is comprised of a large number of sensing devices, often referred to as motes or sensor nodes, which are deployed at the region of interest. The wireless sensor nodes have processing and communication capabilities, which enable them to autonomously gather information from the environment and then to generate and deliver “report-messages” to the remote base stations (remote users). The economic benefits of WSNs are mainly due to the exclusion of expensive infrastructure required by the wired sensor networks. The Finite- Difference Time-Domain (FDTD) method introduced powerful tool for solving various electromagnetic (EM) problems. The development of a 3-D FDTD method for planar devices is presented in this work. This method offers an accurate design technique for new type of microstrip filters. A signal estimation technique was developed in order to reduce the FDTD computation time. By using this signal estimation technique, the number of FDTD iterations was reduced up to five times. A design algorithm uses FDTD and Neural Networks. This is much faster than the FDTD method alone. Mobile communications systems require preselect filters with enhanced properties. This work presents the research on novel microstrip filters. The technology required by the newly developed filters is economical, no short-circuit elements and no lumped components are needed. The designs can be easily extended for planar HTS technology. An emphasis is put on the development of dual mode filters and filters with cross-coupled novel resonators. This introductive section presents the work on low-pass and band-pass conventional filters. Keywords: Finite-Difference Time-Domain, Mobile communications, Resonator, Microstrip, Dual mode resonators 144
  • 2. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME 1.0 INTRODUCTION The FDTD signal excitation contains a voltage source below the microstrip line. The signal needs to propagate a certain distance along the line to let the transient modes to vanish and reach their true modal nature. In order to minimize the computational domain, the pulse propagation along a simple input microstrip line is first simulated. After the signal acquires the correct transversal profile, the pulse is copied at the input of the microstrip device in order to be analyzed. The same input signal can be used in several simulations of various planar structures with the substrate and the FDTD grid not changed. FDTD method allows the analysis of the electromagnetic field in the planar structure at different time instances. As expected, the FDTD simulations expose the concentration of the electromagnetic energy just underneath the microstrip lines and patches. The analysis in time domain, easily illustrates the incident, reflected and transmitted signals. For example, the plot of the electric field component Ez the propagation of a pulse along a bent microstrip line. After 550 time steps, the incident pulse is still on the input line. After additional 400 time steps (∆t =0.27 ps), the pulse turned left, and propagated along a wider microstrip. 2.0 DISPERSION EFFECTS The fundamental propagation mode for the microstrip line is considered as approximating the Transversal Electric and Magnetic (TEM) mode, when the fields are oscillating only in a perpendicular plane on the direction of propagation. For an ideal TEM mode, not including the material effects, the pulse should not encounter any dispersion. In practice, the microstrip properties are considered frequency independent for a frequency bandwidth up to 2 GHz, when designing on low (εr=2.55) dielectric constant substrate. However, the dispersion effect increases with the increase of the dielectric constant and the working frequency. The FDTD simulations clearly illustrate the dispersion effects in time domain. The Ez field just underneath a straight microstrip line versus time at different locations. The distances y from the source plane to the measuring points are given in ∆y units. In this case, the substrate was alumina (Al2O3) having a dielectric constant εr=8.88 and thickness h=0.535 mm. The 50 line width was w50=0.546 mm. The FDTD grid had ∆x=∆y=0.5636 mm and ∆z=0.127 mm. The time step ∆t=0.27 ps and the incident Gaussian pulse had T=28 ∆t in width and T0=4 T as initial delay. While at the source position, the pulse is an undistorted Gaussian, after propagating a certain distance, the amplitude decreases and the pulse broadens with a strong negative tail. Since the dielectric layers were considered non-dispersive and the numerical dispersion of FDTD is negligible, the pulse distortion observed along a microstrip line is intrinsic to the fundamental “Quasi-TEM” propagating mode. 3.0 FDTD ANALYSIS OF DIFFERENT TYPES OF MICROSTRIP DEVICES Several microstrip devices have been analyzed to verify accuracy of the developed FDTD method. The method was applied to numerous microstrip devices manufactured on substrates having different values for dielectric constant and thickness. In some simple cases, the simulated scattering S parameters were compared with the S parameters provided by commercial software. In other cases, the simulated response was compared with measurements or data taken from literature. A linear low impedance resonator on a substrate a dielectric constant of εr=2.38 and a thickness of h=0.71 mm was simulated using the 145
  • 3. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME developed FDTD method. The 50 line had the width of w50=1.87 mm. The resonator line width was wreson=3.07 and the resonator length was lreson=15.54 mm. For such a simple device, a commercial software, such as Touchstone, modeled the step discontinuities and could provide accurate S parameters. 4.0 GAP END COUPLED LINEAR RESONATOR An end coupled linear resonator presents a higher overall quality factor (Q-factor) than the linear low impedance section discussed above. Consequently, the output signal decays slowly and the FDTD simulation requires a large number of time steps to complete the simulation. The gap end coupled linear resonator was designed as having the line width wreson=w50= 0.61 mm, the length lreson=10 mm and the coupling gap s=0.3 mm. The used substrate had dielectric constant of εr=9.98 and thickness of h=0.635 mm. The used FDTD grid had ∆x=∆y=0.1525 mm and ∆z=0.127 mm and the time step was ∆t=0.27 ps. 5.0 DUAL MODE RESONATORS AND FILTERS Dual mode resonators (DMR) are resonators perturbed in such a way that two resonating modes, initially degenerate, can couple each other. A DMR offers a dual mode filter (DMF) behavior, when certain conditions on the input and output couplings are satisfied. A planar design of dual mode filters was presented using λ meander resonators. A resonator forms a 2-pole filter and consists of a meander loop with the input and output structures, two optional stubs for independent tuning of the resonant frequencies of the orthogonal modes, and a stub providing a coupling between modes. Two types of filter are possible depending on the stubs location. For the symmetric filter, the stub is located on the AA' plane in Fig. 4.5 and the frequency response has two transmission zeros located on both sides of the passband. The asymmetric filter has the stub on BB' plane and does not present any transmission zero. Four pole elliptic filters, also exhibit transmission zeros, but, unlike in the 2-pole symmetric filter, the position of the zeros can be fully controlled. Each of these two rings has three lines attached: an input (or output) line, a line providing major coupling between rings, and a line providing minor coupling. Moreover, each ring has a stub for tuning of the center frequency of one of the modes and obviously a stub providing coupling between orthogonal modes. The input/output structure can be realized in many ways, but for optimized sensitivity they have been carried out as sections of coupled transmission lines. Coupling between rings have been realized by using capacitive gaps. The lines between rings and coupling elements provide appropriate transformations from the gaps or in/out structures as well as a spatial separation between rings. 6.0 QUASI FRACTAL DUAL MODE RESONATORS The DMF patch filters have good power handling properties but they occupy a larger surface area. In order to reduce the patch size, a technique from microstrip antenna design was borrowed. When slots are cut in the square patch, The perturbation required for the dual mode effect is provided by the slots’ asymmetry. The coupling between the modes can be controlled by the difference in the length of the diagonal slots. For the tuning configuration in Fig. 4.26a, the insertion loss decreased to approximately 12 dB. The filter presents two transmission zeros on each side of the pass-band 146
  • 4. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME 7.0 RESULTS The dispersion effect increases with the increase of the dielectric constant and the working frequency. The FDTD simulations clearly illustrate the dispersion effects in time domain. The dispersive effects increase with frequency, therefore these absorbing boundary conditions gave spurious numerical reflections at higher frequency. Figure1. The pulse is guided by the microstrip line along Oy axis Figure2. The pulse changes direction after a mittered corner and reaches Wider microstrip 147
  • 5. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME The accuracy and the consistency of the present developed FDTD method were proved by comparing the results of a simulation on a meander line to the measurements. The performed numerical experiments showed that a straight transition from the lumped source to the microstrip line provides a better matching than using a tapered line. Figure3. Calculated S21 (dotted line) and S11 (continuous line), and measured, S11 (*) for a meander line on Al2O3 with εr=9.98, h=0.635 mm, w = 0.61 mm The decimation of y2 with the desampling rate desra=200 corresponded to an increase in the time step. The very small FDTD time step was required by the stability Courant criterion, but it could cause a coarse frequency step, when translated in frequency domain. The signal y3 resulted from decimation was provided to the ARMA algorithm. The obtained ARMA coefficients could be considered as the coefficients of an Infinite Impulse Response (IIR) filter, which could identify the estimated signal. In this case, the order of the IIR filter was K = M = 16. Figure4. S parameters (in dB) versus frequency (GHz) of the meander loop Dual mode filter 148
  • 6. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME 8.0 CONCLUSION Dual mode filters (DMF) can offer a solution when a narrow band is desired. Open loop and patch DMF are investigated and DMF for GSM / GPRS bands are designed. A novel quasi-fractal resonator is developed in order to reduce the square DMF patch size. Filters with cross-coupled resonators are investigated due to their ability to show generalized Chebyshev (or quasi-elliptic) response. Filters with cross-coupled open half-wavelength loops are designed. For mobile communications bands, the simply half-wavelength resonators are inconveniently long, therefore novel type of resonators are developed. Original theoretical principles of size reducing for these resonators are presented. The newly developed filters take up to 32% of the surface of a simple square half-wavelength resonator, both being designed for 900 MHz. The coupling coefficients of the novel resonators, function of their relative positions are obtained using the 3D-FDTD method. The external quality factor functions of the input / output line positions are obtained in the same way. An iterative ARMA signal estimation technique was developed in order to reduce the FDTD computation time. This is of importance especially in the case of the analysis of narrowband resonating structures. Therefore, with the present technique, the required number of iterations can be reduced up to five times, keeping the same accuracy of the results. Finally, a new design technique using FDTD method and Neural Networks was developed and applied to a microstrip filter. The total design time was reduced twofold. The ARMA signal estimation technique was first utilized to reduce the computation time for each FDTD run. Secondly, the number of FDTD simulations was decreased using the device model provided by a neural network with the ARMA coefficients at the output. The trained network was then incorporated in an optimization procedure for a microstrip filter design. REFERENCES [1] M. G. Banciu, E. Ambikairajah, R. Ramer, “Microstrip Filter Design Using FDTD and Neural Networks”, Microwave and Optical Technology Letters, vol. 34, No. 3, August 5, 2002, pp. 219-224. [2] M. G. Banciu, R. Ramer, “Analysis of Microstrip Circuits Using a Finite Difference Time-Domain”, Proceedings of the 4th World Multi conference on Circuits, Systems, Communications and Computers, Proceedings CSCC 2000, Vouliagmeni, Greece, July 2000, ISBN 960-8052-19-X, pp. 4611-4615 [3] M. G. Banciu, R. Ramer, “Analysis of Microstrip Circuits Using a Finite Difference Time-Domain”, in Advances in Physics, Electronics and Signal Processing Applications, edited by N. E. Mastorakis, World Scientific and Engineering Soc.Press, Danvers, MA, 2000, ISBN: 960-8052-17-3, pp. 156-160 [4] E. H. Fooks, R. A. Zakarevicius, “Microwave Engineering Using Microstrip Circuits”, Prentice Hall, 1989 [5] R. L. Veghte, C.A. Balanis, Dispersion of Transient Signals in Microstrip Transmission Lines, IEEE Trans. Microwave Theory Tech., Vol. MTT-34, No. 12, 1986, pp. 1427-1436 [6] HP-Eesof Microwave & RF Circuit Design – Circuit Element Catalog, HewlettR-Packard, March 1994 [7] M. G. Banciu, R. Ramer, “Design of Microstrip Dual Mode Filters Using Finite Difference Time-Domain Method”, Proceedings of the Asia-Pacific Microwave Conference – APMC 2000, December 2000, Sydney, vol. 1, pp. 975-978 149
  • 7. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME [8] A. C. Kundu, I. Awai, T. Kajitani, "Attenuation pole frequency control of a dual mode circular microstrip ring resonator", 29th European Microwave Conference 99. Incorporating MIOP '99. Conference Proceedings. Microwave Eng. Eur. Part vol.2, 1999, pp.329-32 vol.2. London, UK. [9] I. Awai, “General Theory of a Circular Dual-Mode Resonator and filter”, IEICE Trans. Electron., vol. E81-C, November 1998, pp.1757-1763 [10] A. C. Kundu, I. Awai, “Control of Attenuation Pole Frequency of a Dual-Mode Microstrip Ring Resonator Bandpass Filter“, IEEE Transactions on Microwave Theory and Techniques, vol. 49, 2001, pp. 1113-1117 [11] T.Regu and Dr.G.Kalivarathan, “Prediction of Wireless Communication Systems in the Context of Modeling” International journal of Electronics and Communication Engineering &Technology (IJECET), Volume 4, Issue 1, 2013, pp. 11 - 17, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472 [12] Neeraj Tiwari, Rahul Anshumali and Prabal Pratap Singh, “Wireless Sensor Networks: Limitation, Layerwise Security Threats, Intruder Detection”, International journal of Electronics and Communication Engineering & Technology (IJECET), Volume 3, Issue 2, 2012, pp. 22 - 31, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472 [13] T.Regu and Dr.G.Kalivarathan, “Prediction of a Reliable Code for Wireless Communication Systems” International Journal of Electrical Engineering & Technology (IJEET), Volume 4, Issue 1, 2013, pp. 19 - 26, ISSN Print : 0976-6545, ISSN Online: 0976-6553 [14] Varun Shukla, Arti Saxena and Swati Jain, “A New Rectangular Dielectric Resonator Antenna Compatible for Mobile Communication or Broadband Applications”, International journal of Electronics and Communication Engineering &Technology (IJECET), Volume 3, Issue 2, 2012, pp. 360 - 368, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472 150