中国邮电高校学报(英文) ›› 2017, Vol. 24 ›› Issue (4): 1-9.doi: 10.1016/S1005-8885(17)60217-6

• Wireless •    下一篇

Efficient closed-form solution for target localization using TDOA measurements in the presence of sensor position errors

闫雷兵1,张业荣2,陆音1   

  1. 1. 南京邮电大学
    2. 南京邮电大学通信与信息工程学院
  • 收稿日期:2017-02-26 修回日期:2017-06-06 出版日期:2017-08-30 发布日期:2017-08-30
  • 通讯作者: 闫雷兵 E-mail:yleibing@126.com
  • 基金资助:
    LTE系统定位技术及其在无线资源指配中的应用研究

Efficient closed-form solution for target localization using TDOA measurements in the presence of sensor position errors

  • Received:2017-02-26 Revised:2017-06-06 Online:2017-08-30 Published:2017-08-30
  • Contact: Lei-Bing Yan E-mail:yleibing@126.com

摘要: An efficient solution for locating a target was proposed, which by using time difference of arrival (TDOA) measurements in the presence of random sensor position errors to increase the accuracy of estimation. The cause of position estimation errors in two-stage weighted least squares (TSWLS) method is analyzed to develop a simple and effective method for improving the localization performance. Specifically, the reference sensor is selected again and the coordinate system is rotated according to preliminary estimated target position by using TSWLS method, and the final position estimation of the target is obtained by using weighted least squares (WLS). The proposed approach exhibits a closed-form and is as efficient as TSWLS method. Simulation results show that the proposed approach yields low estimation bias and improved robustness with increasing sensor position errors and thus can easily achieve the Cramer-Rao lower bound (CRLB) easily and effectively improve the localization accuracy.

关键词: target localization, TDOA, sensor position errors, CRLB

Abstract: An efficient solution for locating a target was proposed, which by using time difference of arrival (TDOA) measurements in the presence of random sensor position errors to increase the accuracy of estimation. The cause of position estimation errors in two-stage weighted least squares (TSWLS) method is analyzed to develop a simple and effective method for improving the localization performance. Specifically, the reference sensor is selected again and the coordinate system is rotated according to preliminary estimated target position by using TSWLS method, and the final position estimation of the target is obtained by using weighted least squares (WLS). The proposed approach exhibits a closed-form and is as efficient as TSWLS method. Simulation results show that the proposed approach yields low estimation bias and improved robustness with increasing sensor position errors and thus can easily achieve the Cramer-Rao lower bound (CRLB) easily and effectively improve the localization accuracy.

Key words: target localization, TDOA, sensor position errors, CRLB