一种调频连续波地面侦察雷达目标识别算法

Algorithm for Target Identification of FMCW Ground Reconnaissance Radar

针对线性调频连续波(LFMCW)便携式地面侦察雷达对地面运动目标的识别问题,提出了一种简单有效的行人与车辆目标识别算法.该算法利用行人与车辆目标的微多普勒特征不同,将其多普勒谱进行功率谱转换后,通过功率谱信息来完成对行人与车辆目标的分类识别.仿真实验验证了该算法的正确性.与基于时频分析类方法相比,该算法计算量小,且在动目标检测(MTD)之后进行数据处理时,不需要再对信号进行复杂的时频变换分析,因而具有较大的工程应用价值.

To deal with the problem of ground moving target identification with the linear frequency modulation continuous-wave （LFMCW） potable ground reconnaissance radar, this paper proposes an easy and available algorithm for identification of pedestrian and vehicle targets, where the Doppler spectrum is converted into power spectrum by using the difference of micro-Doppler characteristics between pedestrian and vehicles, and the classification identification of pedestrian and vehicle targets is performed by taking the power spectrum information. Simulation experiments prove this proposed algorithm to be of correctness. Compared with the method based on the analysis of time-domain, the computation is much less, and the complex time-frequency conversion analysis is no more needed for signals while processing the data after MTD detection, thus having the great value for engineering application.