CAJ | 학술논문

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。
침대선성조빈련속파(LFMCW)편휴식지면정찰뢰체대지면운동목표적식별문제，제출료일충간단유효적행인여차량목표식별산법。해산법이용행인여차량목표적미다보륵특정불동，장기다보륵보진행공솔보전환후，통과공솔보신식래완성대행인여차량목표적분류식별。방진실험험증료해산법적정학성。여기우시빈분석류방법상비，해산법계산량소，차재동목표검측(MTD)지후진행수거처리시，불수요재대신호진행복잡적시빈변환분석，인이구유교대적공정응용개치。
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.