2002 International Radar Conference (Radar 2002) · 2002 · 15 citations · 0 references
Natural SciencesComputer ScienceMathematicsAlgorithmsOptimizationStatistical ModelingBeamformingDigital Signal ProcessingGenetic AlgorithmsLikelihood EstimationMaximum Likelihood EstimationSignal ProcessingConvergenceDirection-of-arrival EstimationGenetic Algorithm OptimizationGenetic Algorithms In MusicGlobal Convergence AnalysisLikelihood MaximizationMusic AlgorithmSignal Classification
The maximum likelihood (ML) direction-of-arrival (DOA) estimation method was one of the first to be investigated. For a long time, the complexity and computational load of maximizing the multivariable, highly nonlinear likelihood function prevented it from popular. We present the genetic algorithm (GA) for computing exact solutions to the likelihood function with almost guarantee of global convergence. The performance of GA-based ML and multiple signal classification (MUSIC) algorithm have been compared for a variety of scenarios of SNR, DOA separation, number of snapshots, and computational cost. The relationship between the ML technique and MUSIC is also investigated.