多目标雷达数据处理系统中的算法研究

The Algorithm Research in Multi-Target Radar Data Processing System

随着雷达技术的发展,时至今日,多目标跟踪理论及其相关算法已经有了巨大的发展,并逐渐在各个领域得到应用;但由于实际情况的复杂性及多样性,多目标跟踪依然有它特有的研究价值。雷达信号处理是对扫描得到的回波串进行处理,从而检测目标是否存在,获取目标的状态数据。但这些数据是孤立且离散的,故需要雷达教据处理系统分析出目标航迹,给出目标的运动参数。文章主要研究了多目标情况下的数据处理算法;对系统中的各个部分逐一进行分析,包括航迹起始、点迹航迹关联、航迹滤波等,以及各个阶段的波门门限选取;练合考虑各个算法的复杂度及精确性,总结出了一种适合工程应用的模型,并对其进行Matlab仿真,以证明框架中所有算法的可实现性,并说明了该系统算法的适用场景及局限。

With the development of radar technology,multi-target tracking theory and its related algorithms have been greatly developed,and gradually applied in various fields. However,due to the complexity and diversity of the actual situation, multi-target tracking still has its unique research value. Radar signal processing is to process the echo strings obtained by scanning to detect the existence of the target and obtain the state data of the target. However,these data are isolated and discrete,so the radar data processing system is required to analyze the target track and give the target motion parameters.This paper mainly studies the data processing algorithm under multi-objective conditions, and analyzes each part of the system one by one,including track start,point-track association,track filter,etc.,and the threshold selection of each stage. Considering the complexity and accuracy of each algorithm,a model suitable for engineering application is summarized. Finally,Matlab simulation is carried out to prove the feasibility of all algorithms in the framework,and to illustrate the applicable scenarios and limitations of the system algorithm.