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Title: Performance Analysis of Metaheuristic Approaches for Single-Snapshot DOA Estimation
Authors: Errasti Alcalá, B.
Fernández Recio, R.
Keywords: Ant colony optimization;Direction of arrival (DOA);Electronic warfare;Genetic algorithms
Issue Date: 30-Jan-2013
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/LAWP.2013.2243694
Published version:
Citation: IEEE Antennas and Wireless Propagation Letters 12: 166-169
Abstract: This letter addresses the application of metaheuristics to the single-snapshot direction-of-arrival estimation. The performances of five of the most popular optimization algorithms-Particle Swarm Optimization, Ant Colony Optimization for Continuous Domains, Simulated Annealing, Genetic Algorithms, and Differential Evolution-are compared in terms of convergence, accuracy, resolution, and computational cost in order to find the most suitable one. Also, running parameters are suggested for all of them. The featured numerical simulations include both uniform and nonuniform arrays and different noise scenarios. Results show that all of the presented optimization algorithms are capable of solving the problem, but Ant Colony Optimization for Continuous Domains is the most recommendable .
ISSN: 1536-1225
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