DOA Estimation using fast EM and SAGE Algorithms
Signal Processing - Image and Video Coding beyond Standards
A Refined Genetic Algorithm for Accurate and Reliable DOA Estimation with a Sensor Array
Wireless Personal Communications: An International Journal
Sample-sort simulated annealing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Communications Magazine
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Source direction of arrival (DOA) estimation is one of the challenging problem in wireless sensor network. Several methods based on maximum likelihood (ML) criteria has been established in literature. Generally, to obtain the exact ML (EML) solutions, the DOAs must be estimated by optimizing a complicated nonlinear multimodal function over a high-dimensional problem space. An adaptive particle swarm optimization (APSO) based solution is proposed here to compute the ML functions and explore the potential of superior performances over traditional PSO algorithm. Simulation results confirms that the APSO-ML estimator is significantly giving better performance at lower SNR compared to conventional method like MUSIC in various scenarios at less computational costs.