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