基于AOK时频分析的窄带雷达目标架次分辨方法

针对非平稳运动编队目标的分辨问题,基于ISAR技术和非平稳分析时频分析理论,研究了一种基于自适应最优核（AOK）的窄带雷达目标架次分辨方法,给出了窄带雷达目标架次分辨处理过程和算法步骤.不同于传统方法,该方法主要利用目标相对于雷达的转动引起的多普勒差异来分辨目标,并考虑了交叉干扰的抑制性、信号能量的聚集性,可获得更优的分辨效果.基于实测数据的对比实验结果证明了该方法的有效性.

Method of Narrowband Radar Targets Sorties Identification Based on AOK Time-Frequency Analysis

Aimed at the identification problem of the non-stationary moving formation targets, a method of narrowband radar target sorties identification based on the adaptive optimal kernel （AOK） is studied, in terms of ISAR techniques and non-stationary time-frequency analytic theory, and the process and algorithm procedure for narrowband radar target sorties identification are given in this paper. Different from the traditional ways, the studied method uses Doppler differences resulted from the targets relative to the rotary motion to identify the targets, and takes the suppression of cross interference and the signal energy clustering into consideration, earning the optimal identification results. The contrast experimental results with field test data show that the method is of availability.