DocumentCode :
1907107
Title :
Track retrodiction for HFSWR
Author :
Zhen Ding ; Moo, Peter
Author_Institution :
DRDC Ottawa, Ottawa, ON, Canada
fYear :
2015
fDate :
24-26 June 2015
Firstpage :
345
Lastpage :
350
Abstract :
In this paper, we explore the possibility of track retrodiction to improve the track performance. To make use of the extra multi-frame data, we borrow the Rauch-Tung-Striebel (RTS) algorithm for the track retrodiction purpose. Using a converted extended Kalman filter (CMEKF) as the baseline, its retrodicted version, namely the retrodicted CMEKF, shows a significant improvement in performance. Analysis shows that the position root mean squared error (RMSE) is reduced by 30% and the RMSE in velocity is reduced by 25% when seven frame retrodiction is used. Beyond 10 frames, the reduced RMSE becomes negligible.
Keywords :
Kalman filters; mean square error methods; nonlinear filters; radar signal processing; radar tracking; HFSWR; RMSE; RTS algorithm; Rauch-Tung-Striebel algorithm; converted extended Kalman filter; high frequency surface wave radar; retrodicted CMEKF; root mean squared error; track retrodiction; Bayes methods; Kalman filters; Mathematical model; Prediction algorithms; Radar tracking; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/IRS.2015.7226355
Filename :
7226355
Link To Document :
بازگشت