基于距离分类准则的雷达目标识别方法

雷达目标信号是非平稳信号，对于这样的非平稳信号，用于分类的特征往往包含在局部的时一频信息中，用一般的变换提取有效的特征比较困难。利用小波包基的性质，提出了一种雷达目标识别方法。首先，对雷达回波信号进行小波分解，利用距离准则，选择最优小波包基，从被识别的信号中提取具有最大可分性的特征，得到目标识别的特征向量，由此进行目标识别。仿真实验结果表明，该方法具有高的识别率。

Method of Target Recognition Based on Distance Classification Criteria

Radar signals are of non-stationary, so extracting effective classification features from them by general transformation methods is very difficult. Based on the characters of wavelet packet bases, a method of recognizing radar target is presented in this paper. The target recognition observes the following process - first resolving the wavelet of radar echo-signal, selecting the optimum wavelet bases via given training sample sets based on distance criteria to get the feature vector for target recognition, thus the targets are recognized by the effective features. The experiments of recognition using the data of three kinds of aircraft models are performed and the result demonstrates high recognition rate and low sensitivity to noise by using this method.