Alves, Carlos Antonio [UNESP]Colares, Ricardo Fialho [UNESP]2014-05-272014-05-272000-12-01Midwest Symposium on Circuits and Systems, v. 3, p. 1418-1421.http://hdl.handle.net/11449/66341The 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.1418-1421engComputational complexityConstraint theoryIterative methodsMathematical modelsMatrix algebraMaximum likelihood estimationOptimizationDirection-of-arrival estimatorsIterative quadratic maximum likelihood estimationLinear constraintSignal processingTrabalho apresentado em evento10.1109/MWSCAS.2000.951479WOS:000172099300328Acesso aberto2-s2.0-0034464891