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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="technology" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">2370</article-id><article-id pub-id-type="doi">10.7324/IJCRR.2017.9228</article-id><article-id pub-id-type="doi-url"/><article-categories><subj-group subj-group-type="heading"><subject>Technology</subject></subj-group></article-categories><title-group><article-title>Reduction of Side Lobes of Radar signals for Complementary Code using Particle Swarm Optimization&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Rao</surname><given-names>D. Tirumala</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kumar</surname><given-names>P. Rajesh</given-names></name></contrib><contrib contrib-type="author"><name><surname>Rajeswari</surname><given-names>K. Raja</given-names></name></contrib></contrib-group><volume>)</volume><issue/><fpage>35</fpage><lpage>38</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Doppler resolution is the ability to determine the relative speed of the target along the line of sight from the radar whereastheRange resolution is the ability of the radar receiver to discriminate nearby targets. The performance of range and Doppler resolutions of radar would be optimal, if the coded waveform has impulsive autocorrelation function (ACF).Complementary codes waveforms provide better resolutions compared to other pulses. A desirable property of the compressed pulse is that it should have low side lobes in order to prevent a weaker target from being masked in the side lobes of a nearby stronger target. When&#13;
the side lobes are relatively lower than the main lobe peak, the main peak can be distinguished in a better way and hence the corresponding code will be much better. In this we have proposed the PSO algorithm to design the complementary code for better performance measures like peak sidelobe ratio(PSLR) and integrated sidelobe ratio(ISLR) and compared with matched filter values. The performance measures influence in discriminating the target in the noise environment.&#13;
</p></abstract><kwd-group><kwd>ACF</kwd><kwd> PSO</kwd><kwd> PSLR and ISLR</kwd></kwd-group></article-meta></front></article>
