Novel extended Kalman filter with linear-correction

被引：1
|
作者：
Deng B. [1 ]
Sun Z. [1 ]
He Q. [1 ]
机构：
[1] National Key Lab. of Science and Technology on Blind Signal Processing, Chengdu
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2018年 / 45卷 / 03期
关键词：
Extended Kalman filter; Frequency difference of arrival; Linear-correction; Target tracking; Time difference of arrival;
D O I：
10.3969/j.issn.1001-2400.2018.03.023
中图分类号：
学科分类号：
摘要：
This paper considers the divergence problem of the extended Kalman filter(EKF) in performing estimation of the state of a nonlinear system. A linear-correction EKF algorithm that involves closed-form weighted least squares(WLS) optimization only is developed using the time difference of arrival(TDOA) and frequency difference of arrival(FDOA) measurements The proposed method first estimates and subtracts the initial state estimation error in the result of EKF using the WLS approach, then recycles the filtering process again to overcome the error caused by the part linearization operation for the measurement matrix in EKF. Simulation results demonstrate the good performance of the proposed method. © 2018, The Editorial Board of Journal of Xidian University. All right reserved.
引用
收藏
页码：130 / 135
页数：5
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