DocumentCode :
3570472
Title :
Improvement of bearings only target tracking using smoothing
Author :
Zhang Qian ; Taek Lyul Song
Author_Institution :
Dept. of Electron. Syst. Eng., Hanyang Univ., Seoul, South Korea
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Bearings only target tracking is often addressed using linearized estimators such as the extended Kalman filter (EKF). Due to the erratic performance of the EKF algorithm in passive localization, a new filtering method, referred to as the smoothing modified gain EKF (sMGEKF), is proposed based on the modified gain EKF (MGEKF) and Rauch-Tung-Striebel (RTS) smoothing. Compared to the traditional approaches (e.g., the EKF and the iterated EKF) used in passive localization, the proposed method has potential advantages in tracking accuracy. A simulation study demonstrates the advantages of this approach.
Keywords :
Kalman filters; nonlinear filters; smoothing methods; target tracking; RTS smoothing; Rauch-Tung-Striebel smoothing; bearings only target tracking; extended Kalman filter; filtering method; iterated EKF; linearized estimators; passive localization; sMGEKF; smoothing modified gain EKF; tracking accuracy; Estimation error; Kalman filters; Mathematical model; Sensors; Smoothing methods; Target tracking; Time measurement; bearing only target tracking; modified gain extended Kalman filter; smoothing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Science and Systems Engineering (CCSSE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-6396-6
Type :
conf
DOI :
10.1109/CCSSE.2014.7224497
Filename :
7224497
Link To Document :
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