基于TSFCW雷达的多目标速度和距离估计算法

Multi-Target Velocity and Distance Estimation Algorithm based on TSFCW Radar

基于毫米波防撞雷达的多目标检测和估计,对自动驾驶和交通安全有着重要意义。因此,分析现有的基于线性调频连续波(LFMCW)雷达的多目标检测算法的不足,提出了一种基于梯形步进频率连续波(TSFCW)雷达来实现多目标的速度和距离估计的方法。这种方法不仅能快速估计目标的速度和距离值,而且解决了两个目标的中频信号接近时无法正确估计两个目标距离和速度的问题,大大减小了多目标估计中出现虚假目标和漏检的概率。最后,利用仿真实验验证了所提算法的可靠性。

Multi-target detection and estimation based on millimeter-wave anti-collision radar is of great significance for automatic driving and traffic safety.Therefore,the existing shortcomings of multi-target detection algorithm based on LFMCW(Linear Frequency Modulated Continuous Wave)radar are analyzed,and the method based on TSFCW(Trapezoidal Stepped-Frequency Continuous Wave)radar to realize multi-target velocity and distance estimation is proposed.This method can quickly estimate the speed and distance of the target while solving the problem that the distance and velocity of the two targets cannot be correctly estimated when the IF signal is close,this could greatly reduce the probability of false targets and missed detection in multi-objective estimation.Finally,simulation experiments indicate the feasibility and reliability of the proposed algorithm.