DocumentCode :
3411549
Title :
A BOT algorithm based on sliding window n-step forward prediction
Author :
Chunshi, Ma ; Hongqi, Fan ; Zaiqi, Lu
Author_Institution :
ATR Lab., Nat. Univ. of Defense Technol., Changsha, China
Volume :
2
fYear :
2011
fDate :
24-27 Oct. 2011
Firstpage :
1045
Lastpage :
1049
Abstract :
Bearing-only tracking (BOT) involves nonlinearity. Extended Kalman filter (EKF) is usually employed for the advantages of efficient computation and real time operation. However, the observability badly declines at a high observation rate, which degrades the filtering performance. In order to address this issue, a BOT algorithm based on sliding window n-step forward prediction is proposed. It enhances the observability effectively, and improves the performance of BOT filter at a high observation rate. Target tracking experiments under different scenarios show that the proposed algorithm has good accuracy and stability, and is suitable for application at a high observation rate.
Keywords :
Kalman filters; nonlinear filters; observability; radar tracking; target tracking; bearing-only tracking; extended Kalman filter; observability; observation rate; sliding window n-step forward prediction; target tracking; Accuracy; Estimation error; Filtering; Observability; Prediction algorithms; Target tracking; extended Kalman filter; forward prediction; high observation rate; passive localization; target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
Type :
conf
DOI :
10.1109/CIE-Radar.2011.6159731
Filename :
6159731
Link To Document :
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