一种提高连续波雷达目标检测精度的方法

A Method for Improving the Accuracy of Target Detection in Continuous Wave Radar

为线性调频连续波雷达在多个运动目标信息接近的情况下识别出目标,提出了一种利用FFT+CZT+相关系数的算法。由于线性调频连续波雷达本身存在距离-速度耦合的问题,在测量多个运动目标的情况下会出现大量的虚假信息。从而造成了目标误检率高的问题。该算法利用FFT+CZT将上下扫频差拍信号频谱进行细化,然后计算它们的相关系数,由相关系数确定频谱的相似程度,从而完成上下扫频差拍信号的频谱配对。同时对频谱进行CZT变换的处理,也提高了雷达多目标测距测速的精度。通过Matlab的仿真实验,结果表明提高测距测速精度的同时也降低了雷达的误检率。

In order to identify targets in LFMCM radar when multiple moving targets are close each other,an algorithm using FFT+CZT+correlation coefficient is proposed.Since the LFMCW radar itself has the problem of distance-velocity coupling,a large amount of false information appears in the case of measuring multiple moving targets.This causes a problem of high target false detection rate.The algorithm uses FFT+CZT to refine the spectrum of the up-and-down sweep beat signal,then calculates their correlation coefficients and determines the similarity degree of the spectrum by the correlation coefficient so as to complete the spectrum pairing of the up-and-down sweep beat signals.At the same time,the CZT transform processing of the spectrum also improves the accuracies of multi-target range measurement and velocity measurement.Through the simulation experiment of Matlab,the results show that the accuracies of range measurement and velocity measurement are improved and the false detection rate of radar is also reduced.