误差校正下外辐射雷达无源定位算法  

Passive Radar Localization Algorithm with Bias Registration

作　　者：陈志猛 左燕[1] 王文光[2] CHEN Zhimeng;ZUO Yan;WANG Wenguang(School of Automation,Hangzhou Dianzi University,Hangzhou 310018 ,China;School of Electronic InfoiTnation Engineering,Beihang University,Beijing 100191 ,China)

机构地区：[1]杭州电子科技大学自动化学院,杭州310018 [2]北京航空航天大学电子信息工程学院,北京100191

出　　处：《现代雷达》2019年第3期42-47,共6页Modern Radar

基　　金：国家自然科学基金资助项目(6167346;61771028);浙江省自然科学基金资助项目(LY16F030009)

摘　　要：针对多基外辐射源雷达定位中存在系统误差的问题,提出了一种基于到达角度(DOA)与到达时差(TDOA)的外辐射源雷达无源定位和系统误差校正算法。首先,该方法引入辅助变量对非线性的DOA和TDOA量测方程进行线性化,利用迭代加权最小二乘算法得到对目标位置和系统误差的联合估计;然后,利用辅助变量与目标位置的关联性,设计了一种关联最小二乘算法对初始估计值进行改进;最后,通过后验迭代估计进一步提高目标定位精度。仿真结果表明该算法能够有效地估计系统误差和目标状态。A joint passive localization and bias registration algorithm using Direction of Arrival(DOA) and Time Differences of Arrival(TDOA) measurements is proposed to solve the localization problem in the multi-static passive radar system using illuminators of opportunity under the influence of system error. Firstly, the nonlinear DOA and TDOA measurement equations are linearized by introducing an intermediate variable. Then, a joint estimation of target location and system biases are obtained by a recursive weighted least squares algorithm. Moreover, a dependent least squares algorithm is developed to improve the initial estimation using the relationship between the intermediate variable and target location variables. Finally, an iterative post-estimate procedure is exploited to further enhance the accuracy of target localization. Simulations indicate that the proposed algorithm can effectively estimate the system biases and target state.

关 键 词：无源定位 多基外辐射源雷达 到达角度 到达时差 误差校正 关联最小二乘 

分 类 号：TN971[电子电信—信号与信息处理]