基于传感器和目标自身特性的幻影排除算法

为了消除无源探测定位中测向线交叉产生的大量虚假交点,提出了一种基于传感器及目标自身特性的幻影排除算法.利用传感器的最大探测距离、相对位置以及目标信息,通过几何推导出关联张角、候选观测集和有效观测集,得到一个可靠的角度关联范围,挑选出可以进入关联的角度观测.然后采用基准线最小距离法找出目标的定位点集.仿真实验表明:本文算法能有效地排除无源交叉定位产生的虚假交点,不仅大量地减少目标关联次数,而且大大地提高了系统实时性和成功关联概率.

Algorithm of Ghost Elimination Based on Characteristics of Sensor and Target

In order for eliminating a great quantity of false intersection points resulted from the crossover of direction finding lines over the passive detection and position,a ghost elimination algorithm based on the characteristics of the sensor and target is proposed in this paper.Firstly,by means of the maximum detection range,the relative position and the target information,the correlation opening angle and spare observation set and effective observation set are deduced through geometry,and an available angle correlation range are acquired,thus,the angle observation that goes into correlation can be picked out.Next,the location point set of target could be found by using the datum line least ranging method in this paper.Simulation experiments show that the proposed algorithm could rule out effectively the false intersection points resulted from the passive intersection position,thus,not only reducing dramatically the target correlation times,but also boosting the system real-time performance and the probability of successful correlation.