Constraints implementation for IQML and mode direction-of-arrival estimators
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Data
2000-12-01
Autores
Alves, Carlos Antonio [UNESP]
Colares, Ricardo Fialho [UNESP]
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Resumo
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 compare their performance with two others: unit norm and usual linear constraint. It is shown that the proposed alternative performs better than others constraints. The resulting computational complexity is also investigated.
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Computational complexity, Constraint theory, Iterative methods, Mathematical models, Matrix algebra, Maximum likelihood estimation, Optimization, Direction-of-arrival estimators, Iterative quadratic maximum likelihood estimation, Linear constraint, Signal processing
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Midwest Symposium on Circuits and Systems, v. 3, p. 1418-1421.