西安电子科技大学学报

• 研究论文 • 上一篇    下一篇

存在站址误差时的线性校正TDOA定位算法

邓兵1,2;孙正波2;杨乐3;贺青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:2016-06-15 出版日期:2017-08-20 发布日期:2017-09-29
  • 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)

TDOA localization with linear-correction in the presence of sensor position errors

DENG Bing1,2;SUN Zhengbo2;YANG Le3;HE Qing2   

  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:2016-06-15 Online:2017-08-20 Published:2017-09-29

摘要:

针对到达时间差定位中接收传感器位置信息含有随机误差这一问题,提出了一种线性校正到达时间差定位算法.首先通过引入中间变量将非线性时差定位方程转化为伪线性方程,并利用加权最小二乘估计求得目标位置的初始解; 接着通过求解初始位置估计的误差对目标位置初始解进行线性校正,得到目标位置更为精确的最终估计.仿真结果验证了所提算法具有较好的定位性能.

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

Abstract:

This paper considers the problem of locating a source using time difference of arrival(TDOA) measurements obtained at spatially distributed sensors in the presence of sensor position errors. A linear-correction TDOA localization algorithm that involves closed-form weighted least squares(WLS) optimization only is developed. The proposed method first converts nonlinear TDOA equations into pseudo-linear ones by introducing an intermediate variable and obtains the initial source position estimate using the WLS technique. Then a linear-correction method is applied to improve the initial localization result by estimating and subtracting its positioning error. Simulation results demonstrate the good performance of the proposed method.

Key words: passive localization, time difference of arrival, sensor position error, weighted least squares estimation, Cramer-Rao lower bound

Baidu
map