A cumulant-based Hankel approach to direction-of-arrival estimation

Author

Shi, Zhenghao ; Fairman, Frederick W.

Author_Institution

Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada

Volume

42

Issue

7

fYear

1994

fDate

7/1/1994 12:00:00 AM

Firstpage

1855

Lastpage

1859

Abstract

A new cumulant-based approach to DOA estimation for independent nonGaussian sources and a uniform linear array is presented. The DOAs are obtained by finding the eigenvalues of a matrix made up from cumulants of the data. As with other cumulant-based methods, the present method does not need the characteristics of the noise when the noise is Gaussian. This algorithm is developed using an approach that leads to a general relation between the cumulant functions and the parameters to be estimated. This general relation gives a common framework for developing other algorithms for DOA estimation. Computer simulation results show the effectiveness of this new method

Keywords

array signal processing; eigenvalues and eigenfunctions; matrix algebra; parameter estimation; DOA estimation; Gaussian noise; computer simulation; cumulant functions; cumulant-based Hankel approach; direction-of-arrival estimation; eigenvalues; independent nonGaussian sources; matrix; parameter estimation; uniform linear array; Autocorrelation; Direction of arrival estimation; Eigenvalues and eigenfunctions; Gaussian noise; Higher order statistics; Multiple signal classification; Parameter estimation; Signal processing; Signal processing algorithms; Speech processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.298298

Filename

298298