Feature evaluation of radar signal based on category distance and Bhattacharyya distance
基于类别距离和Bhattacharyya距离的雷达信号特征评价

This paper presented a novel evaluation criterion of optimal feature by means of comparative analysis of the instantaneous autocorrelation method, wavelet transform and time-frequency atom method. It chosen the features extracted in different algorithms by the distance between classes, within-class distance and Bhattacharyya distance with respect to the feature distribution and upper bound of the error rate. The simulation results show that the evaluation criterion of optimal feature is effective. It provides a valuable reference for the feature evaluation of the radar emitter signal.