基于距离门限判决的交叉定位假点剔除算法

交叉定位是一种利用多传感器角度信息进行解算获得目标距离信息的方法,在多目标情况下,该方法存在虚假定位问题。文中提出一种基于最小距离门限判决的多传感器多目标交叉定位假点剔除算法,该算法在最小距离交叉定位算法的基础上,通过最小距离门限判决剔除假点,其计算开销非常小。仿真结果给出了此方法的正确关联点检测概率和错误关联点(假点)剔除概率分布区域图,验证了方法的正确性和有效性。

Algorithm of False Location Elimination Based on Range Threshold Judgment in Cross-localization

The cross-localization method based on direction measurement by multiple radars is a method to obtain the range information of the target.This method has the problem of false localization in the case of multiple-target.In this paper,a new method of eliminating the false localization based on min-range threshold judgment is presented.This method is based on an algorithm of min-range cross-localization.Through min-range threshold judgment it eliminates false localization.Its calculation load is very small.The results of simulation give zone chart of detection probability at correct interacted point and elimination probability at false interacted point.Test and verification show that the method is effective and correct.