航空学报 > 2014, Vol. 35 Issue (7): 1992-1998   doi: 10.7527/S1000-6893.2013.0528

一种考虑传感器位置误差的改进源定位算法

曹亚陆, 彭力   

  1. 江南大学 物联网工程学院, 江苏 无锡 214122
  • 收稿日期:2013-09-21 修回日期:2014-01-21 出版日期:2014-07-25 发布日期:2014-02-19
  • 通讯作者: 彭力,Tel.:0510-85702055E-mail:penglimail2002@163.com E-mail:penglimail2002@163.com
  • 作者简介:曹亚陆男,硕士研究生。主要研究方向:无线传感网络中的目标定位与跟踪。E-mail:yalu.cao.gao@gmail.com;彭力男,博士,教授,博士生导师。主要研究方向:视觉物联网。Tel:0510-85702055E-mail:penglimail2002@163.com

An Improved Source Localization Algorithm in Presence of Sensor Location Errors

CAO Yalu, PENG Li   

  1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
  • Received:2013-09-21 Revised:2014-01-21 Online:2014-07-25 Published:2014-02-19

摘要:

在无线传感器网络的定位问题中,通过移动目标与传感器之间的到达时差(TDOA)与到达频差(FDOA)测量量可以估计目标的位置和速度。但是,当传感器自身信息存在误差时,传统的定位方法将失去精确的定位效果。针对带有传感器误差的源定位问题,基于极大似然(ML)法获取一个封闭的近似解。提出了一种改进的近似极大似然(AML)算法,更新带有传感器误差的代价函数,不仅能实现实时定位,而且保证全局收敛。仿真结果表明,本文算法在存在传感器误差场景下依然可以达到克拉美-罗下限(CRLB),比已有的改进两步加权最小二乘(2-step WLS)法更有效。

关键词: 传感器位置误差, 近似极大似然算法, 源定位, 到达时差, 到达频差

Abstract:

The position and velocity of a moving source can be estimated by utilizing the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements between moving targets and sensors in the localization of wireless sensor networks. The traditional localization algorithms will lose accurate positioning effect in the presence of sensor location errors. Based on the maximum likelihood (ML) function, a closed-form approximate solution can be obtained. This paper develops an improved approximate maximum likelihood (AML) algorithm by updating the cost function with sensor uncertainty, which can allow real-time implementation as well as global convergence. Simulation results show that the proposed algorithm can attain the Cramer-Rao lower bound (CRLB) in the presence of sensor location errors, and it performs better than the modified two-step weighted least squares (2-step WLS) approach.

Key words: sensor location error, approximate maximum likelihood algorithm, source localization, time difference of arrival, frequency difference of arrival

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