Title :
Bistatic sonar data fusion based on extend kalman filter and its application
Author :
Wang, Cheng ; Wang, Yingmin ; Yuan, Yao ; Tao, Linwei
Author_Institution :
Northwestern Polytech. Univ., Xi´´an, China
Abstract :
The extend kalman filter theory is studied thoroughly. The model of extend kalman filter is proposed. Three-dimensional extended Kalman filter fusion algorithm is derived based on the information from transmission stations and receiving stations of bistatic sonar system. As the bigger error of it in z direction, an improved three-dimensional extended Kalman filter fusion algorithm with measurements of elevation is given. The simulation results show that the new method improves the target motion analysis accuracy in z direction.
Keywords :
Kalman filters; sensor fusion; sonar detection; sonar target recognition; bistatic sonar data fusion; extend Kalman filter; target motion analysis accuracy; z direction; Analytical models; Difference equations; Electronic mail; Filtering theory; Kalman filters; Motion analysis; Signal processing; Signal processing algorithms; Sonar applications; Sonar measurements; bistatic sonar; data fusion; target motion analysis; the extend kalman filter operational radius;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485785
