电子与控制

存在观测站位置误差的转发式时差无源定位

  • 朱颖童 ,
  • 董春曦 ,
  • 刘松杨 ,
  • 董阳阳 ,
  • 赵国庆
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  • 西安电子科技大学电子信息攻防对抗与仿真技术教育部重点实验室, 西安 710071
董春曦,男,博士,副教授,硕士生导师。主要研究方向:电子对抗技术、电子战系统仿真。Tel:029-88204179,E-mail:chxdong@mail.xidian.edu.cn

收稿日期: 2015-02-10

  修回日期: 2015-07-18

  网络出版日期: 2015-07-24

基金资助

国家"973"计划(6131812012);中央高校基本科研业务费专项资金(JDZD140503,JDYB140810)

Passive localization using retransmitted TDOA measurements in the presence of sensor position errors

  • ZHU Yingtong ,
  • DONG Chunxi ,
  • LIU Songyang ,
  • DONG Yangyang ,
  • ZHAO Guoqing
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  • Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi'an 710071, China

Received date: 2015-02-10

  Revised date: 2015-07-18

  Online published: 2015-07-24

Supported by

National Basic Research Program of China(6131818012);Fundamental Research Funds for the Central Universities(JDZD140503,JDYB140810)

摘要

无源定位中,由于观测站安放在运动平台等原因造成的观测站位置误差会影响无源定位精度性能。另外到达时间差(简称时差)(TDOA)的转发式测量需要将不同观测站截获到的辐射源信号都转发到同一位置,如主观测站。针对这两个问题,提出了基于约束总体最小二乘(CTLS)的无源定位算法。首先将转发式时差的非线性定位方程转化为不需要中间变量的直接线性方程,再基于CTLS算法依次转化为约束优化问题和无约束优化问题,最后推导给出定位近似闭式解。仿真实验表明在观测站误差较大时,该算法与其他算法相比定位精度性能较好。

本文引用格式

朱颖童 , 董春曦 , 刘松杨 , 董阳阳 , 赵国庆 . 存在观测站位置误差的转发式时差无源定位[J]. 航空学报, 2016 , 37(2) : 706 -716 . DOI: 10.7527/S1000-6893.2015.0203

Abstract

Location sensors placed in the motion platform may result in position error, which will affect the performance of passive positioning accuracy. Retransmitted measurement of the time difference of arrival(TDOA) needs to transmit emitter signal intercepted by different sensors to the same location, such as the main sensor. For these two issues, a passive location algorithm is proposed based on constrained total least squares(CTLS). First, the nonlinear equation using retransmitted TDOA is converted to a direct linear equation without intermediate variables. Then, the direct linear equation is transformed into a constrained optimization problem and unconstrained optimization problems based on CTLS algorithm. A quasi-closed-form solution to the passive location is derived. Simulations prove that the proposed algorithm achieves better location accuracy than the previous algorithms in the case of higher sensor position error.

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