Classification Of Ground Moving Object Using Coefficient Of Integrated Bispectrum For Doppler Radar
Journal: International Journal of Scientific & Technology Research (Vol.3, No. 8)Publication Date: 2014-08-15
Authors : Munesh Singh; Srinivasa Rao Katuri;
Page : 212-217
Keywords : Index Terms ATR Automatic Target Recognition; SNRSignal to Noise Ratio; Features extraction; Result;
Abstract
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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