DocumentCode :
3270255
Title :
The Research of Underwater Target Tracking Adaptive Algorithm Based on Bearings and Time-Delay
Author :
Qu, Yi ; Liu, Zhong ; Sun, Shiyan
Author_Institution :
Naval Univ. of Eng. Wuhan, Wuhan
fYear :
2007
fDate :
20-24 March 2007
Firstpage :
530
Lastpage :
533
Abstract :
The adaptive algorithm of underwater target tracking has been presented in this thesis. Based on the range information induced by time-delay, equations of state and measurement have been established. According to the thought of attenuating memory, Sage-Husa statistics estimator is introduced to the algorithm. Then, the target tracking is discussed with adaptive Extended Kalman Filter. It is showed in the Monte-Carlo simulation results that the algorithm has better performance. The system is practical and effective.
Keywords :
Monte Carlo methods; adaptive Kalman filters; delays; sonar tracking; target tracking; tracking filters; Monte-Carlo simulation; Sage-Husa statistics estimator; adaptive extended Kalman filter; sonar; time-delays; underwater bearing target tracking; Acoustic noise; Adaptive algorithm; Covariance matrix; Gaussian noise; Geometry; Noise measurement; Sea measurements; Sonar measurements; Target tracking; Trajectory; Monte Carlo simulations; adaptive filter; bearings tracking; time-delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
1-4244-1092-4
Electronic_ISBN :
1-4244-1092-4
Type :
conf
DOI :
10.1109/ICITECHNOLOGY.2007.4290372
Filename :
4290372
Link To Document :
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