机械扫描雷达的扇形扫描非均匀采样问题的研究

Research on Non-uniform Sampling of Sector Scanning of Mechanical Scanning Radar

本文针对机械雷达进行扇形扫描目标跟踪时,由于非均匀采样而导致的目标易丢失、精确度低等问题,提出了两种解决方法:一种是基于Hough变换的航迹融合的方法,该方法将扇形扫描的非均匀采样问题转化为两路并行的均匀采样进行处理,并通过Hough变换,对两路均匀采样的数据进行航迹融合输出;另一种通过分析扇区不同位置的采样时间间隔变化,对目标预测时间进行粗略的估计,修正滤波和外推的方程,从而解决非均匀采样问题。最后通过仿真分析对这两种方法进行了比较。

In this paper,two solutions were proposed to deal with target easy-to-miss and low accuracy caused by non-uniform sampling when mechanical radar is performing sector scanning and target tracking.One method was a track fusion method based on Hough transform.This method converted the non-uniform sampling of sector scanning into two parallel uniform sampling for processing,and used Hough transform to perform track fusion output on the two uniformly sampled data;the other solution was to make a rough estimate of the target prediction time by analyzing the sampling time interval changes in different positions of the sector,and to modify the equations of filtering and extrapolation to solve the problem of non-uniform sampling.Finally,the two methods were compared through simulation analysis.