Direction of Arrival Estimation Based on Maximum Likelihood Criteria Using Gravitational Search Algorithm

In this paper, a new heuristic optimization algorithm called Gravitational Search Algorithm (GSA) is proposed for Direction of Arrival (DOA) estimation method based on maxi- mum likelihood (ML) criteria for a Uniform Circular Array (UCA) of 12 elements. The results are compared with those obtained using Particle Swarm Optimization (PSO) and MUSIC algorithms in terms of Root Mean Square Error (RMSE).

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