DocumentCode :
3501130
Title :
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
Link To Document :
بازگشت