针对汽车防撞雷达在多目标环境下遇到的虚假目标问题,基于各种多目标识别方法给出一种改进型变周期线性调频连续波(LFMCW)雷达多目标识别方法。该方法将改进型变周期三角波作为调频信号,通过对回波信号进行动目标检测、恒虚警检测等处理后进行容差函数的判断,最终达到去除虚假目标的目的。仿真结果表明,与传统LFMCW雷达相比,该方法在复杂多目标环境下能去除虚假目标,从而更为准确地识别目标。在实际应用中为驾驶员提供正确的目标距离和相对速度信息,从而起到主动防御的作用。

In order to overcome the problems of false targets that automobile anti-collision radar encounter in the multi-target environment, an improved variable cycle LFMCW radar multi-target recognition method is proposed, which based on variable period multi-target detecting method. In the method, the improved variable cycle triangular wave is taken as frequency modulated signal, ultimately removes false targets by judging the tolerance function after echo signal is processed by MTD, CFAR etc. The simulation results also show that under real-world complex multi-target situation, comparing to the traditional LFMCW radar, the capacity of precision will be increased in the aspect of target identification. At the same time, the false targets could be removed. This method can be applied in the automotive anti-collision radar system, moreover, it could offer the driver the correct target distance and relative speed information, so as to playing the role of protecting driver actively.

国家自然科学基金资助项目;广西自然科学基金资助项目