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Progress In Electromagnetics Research
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RADAR AUTOMATIC TARGET RECOGNITION BASED ON SEQUENTIAL VANISHING COMPONENT ANALYSIS

By S. Liu, R. Zhan, J. Zhang, and Z. Zhuang

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Abstract:
To reduce the complexity of classifier design in radar automatic target recognition (RATR), a novel RATR method for high range resolution profile(HRRP) is proposed. Linearly separable features are extracted with sequential vanishing component analysis (SVCA) which is implemented by finding the generators of each approximately vanishing polynomial set, and target classification is implemented with linear classifiers. Experiments are carried out on simulated vehicle target data and MSTAR database, and the results demonstrate the efficiency of the proposed method.

Citation:
S. Liu, R. Zhan, J. Zhang, and Z. Zhuang, "Radar Automatic Target Recognition Based on Sequential Vanishing Component Analysis," Progress In Electromagnetics Research, Vol. 145, 241-250, 2014.
doi:10.2528/PIER14011608
http://www.jpier.org/PIER/pier.php?paper=14011608

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