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Reseach Article

Development and Performance Evaluation of Mismatched Filter using Differential Evolution

by J. B. Seventline, G. V. K. Sharma, K. Sridevi, D. Elizabath Rani, K. Raja Rajeswari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 8
Year of Publication: 2012
Authors: J. B. Seventline, G. V. K. Sharma, K. Sridevi, D. Elizabath Rani, K. Raja Rajeswari
10.5120/6933-8212

J. B. Seventline, G. V. K. Sharma, K. Sridevi, D. Elizabath Rani, K. Raja Rajeswari . Development and Performance Evaluation of Mismatched Filter using Differential Evolution. International Journal of Computer Applications. 46, 8 ( May 2012), 56-60. DOI=10.5120/6933-8212

@article{ 10.5120/6933-8212,
author = { J. B. Seventline, G. V. K. Sharma, K. Sridevi, D. Elizabath Rani, K. Raja Rajeswari },
title = { Development and Performance Evaluation of Mismatched Filter using Differential Evolution },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 8 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 56-60 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number8/6933-8212/ },
doi = { 10.5120/6933-8212 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:15.925641+05:30
%A J. B. Seventline
%A G. V. K. Sharma
%A K. Sridevi
%A D. Elizabath Rani
%A K. Raja Rajeswari
%T Development and Performance Evaluation of Mismatched Filter using Differential Evolution
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 8
%P 56-60
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pulse compression is a technique that plays an important role in various fields like radar, sonar and spread spectrum communication to achieve the high transmit energy of a long pulse while preserving the range resolution of a short pulse. In this paper a new method of design of mismatched filter to minimize the Peak sidelobe ratio (PSLR) in the pulse compressed waveform is discussed. The method used here is the differential evolution optimization technique. The performance of the filter is studied with different codes like binary barker and chaotic codes . Results show that significant reduction in Peak sidelobe ratio is obtained at the output of the mismatched filter.

References
  1. Skonik,M. I. ,Introduction to Radar Systems'Tata McGraw Hill Book Co. ,New York,3rd Ed. , 2001.
  2. Levanon, N. , Mozeson, E. ,Radar Signals, Hoboken, NJ:John Wiley & Sons, Inc. 2004.
  3. Ackroyd,M. H. and Ghani. F 'Optimum mismatched filters for sidelobe suppression ' IEEE Transactions on Aerospace and Electronic systems,Vol. 9,pp. 214-218,March 1973.
  4. Zoraster,S. 'Minimum peak range sidelobe filter for binary phase coded waveforms,' IEEE Transactions on Aerospace and Electronic systems,Vol. 16,pp. 112-11 ,January 1980.
  5. Baden,J. M. and M. N Cohen' Optimum peak sidelobe filters for biphase pulse compression' Proceeding of the IEEE International radar Conference, pp-252-259, 1990
  6. Kwan,H. K. , and Lee,C. K. ,'A neutral network approach to pulse radar detection' IEEE Trans. Aerosp. electron. Syst. ,29, (1), pp. 9-21, 1993.
  7. Nunn, C. 'Constrained optimization applied to pulse compression codes, and filters'. IEEE Int. Radar Conf. , pp. 190–194,9–12 May 2005.
  8. Levanon,N. 'Cross Correlation of long binary signals with long mismatched filters' IEE Proc. -Radar and Sonar navig. , July 2005.
  9. Xin Wu, Weixian Liu, Lei Zhao, Jeffrey . S. Fu, 'Chaotic Phase Code for Radar Pulse Compression'. IEEE Radar Conf. 2001, pp. 27-28.
  10. Seventline,J. B. , Elizabeth Rani, D. ,Raja Rajeswari. K,'Ternary Chaotic Pulse Compression Sequences' Journal of Radio Engineering, Vol. 19,No:3, pp. 415-420, September 2010.
  11. Storn, R. , Price, K. , 'Differential evolution: a simple and Efficient Adaptive scheme for global optimization over continuous spaces' Technical Report , TR-95- 12, International Computer Science Institute, Berkeley, USA, 1995.
  12. Storn ,R. Price ,K. V. ' Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces. 'Journal of Global Optimization, Vol. 11 pp. 341- 359,1997. Liu B, Wang . L. , Jin ,Y. H. , Huang, D. X, Tang F. 'Control and Synchronization of chaotic systems by differential evolution algorithm' Chaos, Solitons & Fractals 34(2), Elsevier,pp. 412–419,2007.
  13. Chang,W. D. 'Parameter identification of Rossler's chaotic system by an evolutionary algorithm', Chaos,Solitons& Fractals , Elsevier, pp. 1047–53,2006.
  14. Leandrrodos Santos Coelho, Joao Guilherme Sauer and MarceloRudek 'Differential evolution optimization combined with chaotic sequences for image contrast enhancement' Chaos, Solitons and Fractals, Elsevier, Volume 42 ,Issue 1, pp. 522-529,October 2009 Swagatam Das, Ponnuthurai Nagaratnam Suganthan' Differential Evolution: A Survey of the State-of-the-Art' IEEE Transactions on Evolutionary Computation, Vol. 15, No. 1, pp. 4-31,February 2011
  15. Vikas Baghel . 'Multiobjective Optimization — New Formulation and Application to Radar Signal Processing 'M. Tech thesis,2009 .
  16. S. Das, A. Abraham and A. Konar, 'Particle SwarmOptimization and Differential Evolution Algorithms:Technical Analysis, Applications and HybridizationPerspectives', Studies in Computational Intelligence (SCI)116, 1-38 (2008).
Index Terms

Computer Science
Information Sciences

Keywords

Pulse Compression Autocorrelation Peak Sidelobe Ratio Differential Evolution mismatched Filter