多站多目标交叉定位技术

Research on Cross-localization Technique in System of Multiple-radar and Multiple-target

交叉定位是一种利用多站角度信息进行解算获得目标距离信息的方法,利用双站即可完成对目标的三维定位。但在多站多目标情况下,该方法存在虚假定位问题,且此时的误差分布特性和定位精度较差。提出一种基于最小距离门限判决的多雷达站多目标交叉定位假点剔除算法,并利用目标的冗余信息进行数据融合,以改善雷达交叉定位系统中交叉定位误差分布特性和定位精度。仿真结果验证了假点剔除算法和数据融合算法的正确性和有效性。

The cross-localization based on direction measurement by multiple-radar is a method to get the distance information of the target.In multiple-radar system,the method has the problem of false localization in the case of multiple-target.Also the precision of coordination and the performance of error distribution in system of two-radar cross-localization are bad.In this paper,a new method of eliminating the false localization based on min-distance threshold judgment is presented.We can use the target＇s redundant information to fuse data.That can improve the precision of coordination and the performance of error distribution in system of multiple-radar cross-localization.The results of simulation testes and verifies the method is affective and correct.