一种多传感器协同测向的配准跟踪方法  

A Registration and Tracking Method of Multi-Sensor Cooperative Direction Finding

作　　者：李思奇[1] LI Siqi(No.10 Research Institute of China Electronics Technology Group Corporation,Chengdu 610036)

机构地区：[1]中国电子科技集团公司第十研究所,成都610036

出　　处：《舰船电子工程》2022年第1期28-32,共5页Ship Electronic Engineering

基　　金：国家重点研发计划项目(编号:2017YFC1404901)资助。

摘　　要：在多无源传感器协同测向定位中,针对测量角度信息包含系统偏差情况,提出了基于迭代扩展卡尔曼滤波的多传感器在线协同配准及定位跟踪方法。首先构建多传感器测向定位配准模型,基于扩展卡尔曼滤波,迭代判定显著性检验统计量,在线实时估计目标航迹状态及传感器的角度偏差;通过仿真表明该方法能有效地估计传感器系统偏差,提升目标航迹跟踪的精度。In multi-passive sensor cooperative direction finding and location,in view of the measurement angle information in⁃cluding system bias error,iterative extend Kalman filtering method for online cooperative registration and location tracking of multi-sensor is proposed.Firstly,the registration model of multi-sensor direction finding is constructed.Based on iterative extend Kalman filtering,significance check statistic variable is decided.Then the tracking state of the target and angle bias error of the sen⁃sor are estimated online and in real time.Simulation results show that the method can effectively estimate sensor system bias error,and improve target tracking accuracy.

关 键 词：多传感器 协同测向定位 系统偏差 迭代扩展卡尔曼滤波 

分 类 号：TN957[电子电信—信号与信息处理]