Constraints implementation for IQML and MODE direction-of-arrival estimators

Author

Alves, Carlos Antonio ; Colares, Ricardo Fialho ; Lopes, Amauri

Author_Institution

Dept. of Electr. Eng., FEIS - UNESP, Sao Paulo, Brazil

Volume

3

fYear

2000

fDate

2000

Firstpage

1418

Abstract

The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known "high resolution" direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with constraints. The usual linear constraint presents a poor performance for certain DOA values. This work proposes a new linear constraint applicable to both DOA methods and compares their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than other constraints. The resulting computational complexity is also investigated

Keywords

computational complexity; direction-of-arrival estimation; iterative methods; maximum likelihood estimation; IQML; MODE; computational complexity; direction-of-arrival estimators; iterative quadratic maximum likelihood; linear constraint; method of direction estimation; optimization problem; Covariance matrix; Direction of arrival estimation; Frequency estimation; Iterative methods; Maximum likelihood estimation; Noise level; Noise reduction; Phase noise; Polynomials; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on

Conference_Location

Lansing, MI

Print_ISBN

0-7803-6475-9

Type

conf

DOI

10.1109/MWSCAS.2000.951479

Filename

951479