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Pulse Compression Techniques for Target Detection

by K. L. Priyanka, Sujatha Ravichandran, N. Venkatram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 22
Year of Publication: 2014
Authors: K. L. Priyanka, Sujatha Ravichandran, N. Venkatram
10.5120/16927-6975

K. L. Priyanka, Sujatha Ravichandran, N. Venkatram . Pulse Compression Techniques for Target Detection. International Journal of Computer Applications. 96, 22 ( June 2014), 23-28. DOI=10.5120/16927-6975

@article{ 10.5120/16927-6975,
author = { K. L. Priyanka, Sujatha Ravichandran, N. Venkatram },
title = { Pulse Compression Techniques for Target Detection },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 22 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number22/16927-6975/ },
doi = { 10.5120/16927-6975 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:28.815262+05:30
%A K. L. Priyanka
%A Sujatha Ravichandran
%A N. Venkatram
%T Pulse Compression Techniques for Target Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 22
%P 23-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

LPI is the property of radar that, because of its low power, wide bandwidth, frequency variability, or other design attributes makes it difficult for it to be detected by means of a passive intercept receiver. Desirable properties of LPI based on periodic autocorrelation, ambiguity function, peak and integrated side lobes. LPI modulation techniques include frequency modulation, phase modulations. In phase modulation Barker, Frank, P4simulations are studied. The best code is opted for target detection based on desirable properties, Doppler tolerance and reduction in side lobes. When the transmitted and received signals are correlated a peak is generated as the indication of target detection. These correlated peaks are added non coherently to achieve target detection.

References
  1. M. I. Skolnik, "Radar Handbook", McGraw-Hill, New York, NY, 1970.
  2. Bassem R. Mahafza Atef Z. Elsherbeni, "Simulations for Radar System Design"Chapter 05, July 2003.
  3. Nedav Levanon and Eli Mozeson, "Radar Signals", Wiley, 2004.
  4. R. L. Frank, "Polyphase codes with good nonperiodic correlation properties," IEEE Transactions on Information Theory, pp. 43–45, January 1963.
  5. P. E. Pace, "Detecting and classifying low probability of intercept radar", Artech House, 2004.
  6. Nedav Levanon and Eli Mozeson, "Matlab code for plotting ambiguity functions", IEEE Transactions on Aero space and Electronic System, vol. 38, No. 3, 1064-1068, 2002.
  7. Ashok S. Mudukutore, V. Chandrasekar, "Pulse Compression for Weather Radars", IEEE Transactionson Geosciences andRemote Sensing, Vol. 36, No. 1, January 1998.
  8. Jarmo Lund_en, Liisa Terho, Visa Koivunen "Classifying Pulse Compression Radar Waveforms Using Time Frequency Distributions", 2005 Conference on Information Sciences and Systems, The Johns Hopkins University, March 16-18, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Pulse compression correlation polyphase codes polytime codes side lobe weighting windows

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