误差校正下外辐射雷达无源定位算法
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  • 英文篇名:Passive Radar Localization Algorithm with Bias Registration
  • 作者:陈志猛 ; 左燕 ; 王文光
  • 英文作者:CHEN Zhimeng;ZUO Yan;WANG Wenguang;School of Automation, Hangzhou Dianzi University;School of Electronic Information Engineering, Beihang University;
  • 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
  • 英文关键词:passive localization;;multi-static passive radar;;direction of arrival;;time differences of arrival;;bias registration;;dependent least squares
  • 中文刊名:XDLD
  • 英文刊名:Modern Radar
  • 机构:杭州电子科技大学自动化学院;北京航空航天大学电子信息工程学院;
  • 出版日期:2019-03-15
  • 出版单位:现代雷达
  • 年:2019
  • 期:v.41;No.340
  • 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)
  • 语种:中文;
  • 页:XDLD201903009
  • 页数:6
  • CN:03
  • ISSN:32-1353/TN
  • 分类号:46-51
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.
引文
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