基于单脉冲的雷达个体识别技术研究

基于单脉冲的雷达个体识别技术首先要对雷达信号进行归一化处理，归一化后的数据通过投影变换映射为一幅图像，然后提取这幅图像的不变矩作为可供识别的特征量。在识别过程中采用了最小距离分类器．利用现有数据所做的实验表明．这种方法在一定信噪比条件下有较高的识别正确率。通过和匹配滤波法的对比实验表明．基于单脉冲的个体识别效果要明显优于单纯利用归一化数据进行匹配滤波的效果。

Study of Radar Individual Discriminating Technology Based on Monopulse

Radar individual discriminating technology based on monopulse need normalize the radar signal in the first step, the normalization data projects an image, then the image invariant moments are extracted as the identification signature quantity. The min-distance classifier is used in the identification process,and high correct identification rate can be got by experiments that use sampling data under certain SNR. The contract experiments between matching filtering method and single-pulse method prove that the effect of individual identification based on monopulse is more superior than matching filtering only by use of normalization data.