Research Article
Target Detection with Cross Ambiguity Function using Binary Sequences with high Discrimination
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 16 - Issue 4 |
| Published: February 2011 |
| Authors: M.V.Nageswara Rao, K.Raja Rajeswari |
10.5120/2003-2700
|
M.V.Nageswara Rao, K.Raja Rajeswari . Target Detection with Cross Ambiguity Function using Binary Sequences with high Discrimination. International Journal of Computer Applications. 16, 4 (February 2011), 8-12. DOI=10.5120/2003-2700
@article{ 10.5120/2003-2700,
author = { M.V.Nageswara Rao,K.Raja Rajeswari },
title = { Target Detection with Cross Ambiguity Function using Binary Sequences with high Discrimination },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 16 },
number = { 4 },
pages = { 8-12 },
doi = { 10.5120/2003-2700 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A M.V.Nageswara Rao
%A K.Raja Rajeswari
%T Target Detection with Cross Ambiguity Function using Binary Sequences with high Discrimination%T
%J International Journal of Computer Applications
%V 16
%N 4
%P 8-12
%R 10.5120/2003-2700
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The aim of this paper is to explore the binary sequences with high discrimination using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique. The cross-ambiguity function method is used to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambiguity function are computed as a function of delay and Doppler frequency shift. The results are compared with binary sequences of the sequence lengths N=32, N=100, N=200 and N=500.
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