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

作　　者：张文鑫 高晶敏[1] 杨鸿波[1] ZHANG Wen-xin;GAO Jing-min;YANG Hong-bo(National Electronic Information and Control Experimental Teaching Center,Beijing Informatica Science&Technology University,Beijing 100192,China)

机构地区：[1]北京信息科技大学电子信息与控制国家级实验教学中心,北京100192

出　　处：《通信技术》2018年第7期1566-1574,共9页Communications Technology

基　　金：低速超高速运动平台测高算法研究(No.52218110937);基于蚁群算法的无线传感器网络容错路由算法研究(No.5221710911)~~

摘　　要：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.

关 键 词：步进频率连续波(SFCW) 多目标 速度 距离 

分 类 号：TN958.94[电子电信—信号与信息处理]