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IJSTR >> Volume 3- Issue 8, August 2014 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Classification Of Ground Moving Object Using Coefficient Of Integrated Bispectrum For Doppler Radar

[Full Text]



Munesh Singh, Srinivasa Rao Katuri



Index Terms: ATR (Automatic Target Recognition), SNR(Signal to Noise Ratio) , Features extraction , Result



Abstract: This paper considers the classification of radar target using Backscatter Doppler signature of moving object. Classification performance evaluated by the integrated Bispectrum based technique of feature extraction and compared it with Cepstrum based feature extraction technique. Classifier performance is tested by GMM (Gaussian Mixture Model) and ML (Maximal Likelihood) decision making method. Classifier is trained and tested by distinct target echoes such as single human, double human, and triple human set. Proposed classification results shows the superiority of integrated Bispectrum method over Cepstrum method and classification rates are up to 82% to 87% at different feature sets.



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