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

Volume

3

fYear

2010

fDate

16-18 April 2010

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485785

Filename

5485785