DOA estimation of distributed source based on Jacobi-Anger expansion

Author

Qun, Wan ; Shenjian, Liu ; Ge Fengxiang ; Peng Yingning

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

1

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

366

Abstract

A novel signal model of distributed source is presented based on Jacobi-Anger expansion. Firstly, the coefficients of expansion are estimated as the solution of a set of linear equations using sample covariance. Secondly, the angular power density (APD) is obtained from the estimated coefficients of expansion. Finally, the mean direction of arrival (DOA) is obtained through 1-dimensional peak searching of the estimated APD. Unlike the existed algorithms, the limitation to the width of the angular spread is avoided. Numerical examples are included to show the improved accuracy of DOA estimation in the case of widely distributed sources.

Keywords

array signal processing; covariance matrices; direction-of-arrival estimation; signal sampling; 1D peak searching; DOA estimation; Jacobi-Anger expansion; angular power density; coefficients of expansion; covariance matrix; direction of arrival estimation; distributed source; linear equations; mean DOA; sample variance; signal model; uniform linear array; Array signal processing; Direction of arrival estimation; Equations; Jacobian matrices; Multidimensional signal processing; Multidimensional systems; Power engineering and energy; Random variables; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1181066

Filename

1181066