基于基准线概率密度的多站多目标定位

摘要

针对在多传感器多目标定位中,运用测向交叉定位法会产生大量虚假点,研究了一种剔除虚假点的方法。首先确定一个基准站,将其所测角度对应的测向线设为基准线,其他站测角所对应的测向线与每条基准线相交可产生大量交点,通过比较每条基准线上交点的概率密度和,选取和值最大点作为对应基准线上目标的估计位置。仿真分析表明,此法定位精度高,处理速度快,适于实时处理。%The method of cross-location will produce a lot of false intersection points in multisensor-multitarget location.An algorithm is put forward in order to eliminate false intersection points.First,a station is chosen as the base-station,all the angles it measures are determined as base-lines,each of them will cross lines measured by all the other stations,then a large number of cross points are generated.By comparing the probability of each point,the one with the highest probability is determined as the estimated location of the target on the base-line.Simulation result shows that using this algorithm can get target location quickly and accurately,so it＇s fit for real time processing.