西安电子科技大学学报

• 研究论文 • 上一篇    下一篇

带目标高度约束信息的TOA无源定位

邓兵1,2;孙正波2;杨乐3;彭华峰2;熊瑾煜2   

  1. (1. 信息工程大学 信息系统工程学院,河南 郑州 450002;
    2. 盲信号处理重点实验室,四川 成都 610041;
    3. 江南大学 物联网工程学院,江苏 无锡 214122)
  • 收稿日期:2016-06-20 出版日期:2017-06-20 发布日期:2017-07-17
  • 作者简介:邓兵(1987-),男,信息工程大学博士研究生,E-mail: dengbing0317@sina.com
  • 基金资助:

    国家自然科学基金资助项目(61172140,61304264)

Geolocation of a known altitude object using TOA measurements

DENG Bing1,2;SUN Zhengbo2;YANG Le3;PENG Huafeng2;XIONG Jinyu2   

  1. (1. School of Information Systems Engineering, Information Engineering Univ., Zhengzhou 450002, China;
    2. National Key Lab. of Science and Technology on Blind Signal Processing, Chengdu 610041, China;
    3. School of Internet of Things (IoT) Engineering, Jiangnan Univ., Wuxi 214122, China)
  • Received:2016-06-20 Online:2017-06-20 Published:2017-07-17

摘要:

针对目标位于地球表面且高程已知的情形,首先推导了在到达时间定位体制下,接收站存在站址误差时,目标定位的克拉美罗下限; 然后基于目标高度约束信息,简化定位方程,并利用加权最小二乘定位算法,实现了目标位置的定位解算.同时在理论上分析了高程信息对目标定位精度的改善效果以及所提算法的性能,证明了算法的有效性.仿真结果表明,该算法具有较好的定位精度.

关键词: 无源定位, 到达时间, 站址误差, 加权最小二乘估计, 克拉美罗界下限

Abstract:

This paper considers the problem of locating a source on the Earth surface whose altitude is known a priori using time of arrival (TOA) measurements obtained in spatially distributed receivers. The receiver positions are subject to random errors. The Cramer-Rao lower bound (CRLB) analysis shows that exploiting the source altitude information can improve the source localization accuracy compared to the TOA-only localization system. A weighted least squares (WLS) source localization algorithm exploring both the source altitude and TOA measurements is developed. The proposed solution is shown analytically to achieve the CRLB over a small noise region. Simulation results demonstrate the good performance of the proposed method.

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