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To reduce the complexity of classifler design in radar automatic target recognition (RATR), a novel RATR method for high range resolution proflle (HRRP) is proposed. Linearly separable features are extracted with sequential vanishing component analysis (SVCA) which is implemented by flnding the generators of each approximately vanishing polynomial set, and target classiflcation is implemented with linear classiflers. Experiments are carried out on simulated vehicle target data and MSTAR database, and the results demonstrate the e-ciency of the proposed method.

RADAR AUTOMATIC TARGET RECOGNITION BASED ON SEQUENTIAL VANISHING COMPONENT ANALYSIS