Application of particle swarm optimization (PSO) to single-snapshot direction of arrival (DOA) estimation

Escot, D.; Poyatos, D.; Gonzalez, I.; Adana, Francisco Sáez de; Cátedra, M.F.

doi:10.1109/aps.2007.4396740

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2009

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“…Recently, new techniques to estimate the DOA with fewer snapshots were demanded and heuristic algorithms were introduced to solve this problem. Particle Swarm Optimization (PSO), presented in [5] is one of these algorithms and it has been applied to solve the considered problem [6]. This communication analyzes the performance of the PSO algorithm when applied to the DOA estimation problem under several scenarios.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of the Particle Swarm Optimization algorithm when applied to direction of arrival estimation

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Escot

Poyatos

et al. 2009

2009 International Conference on Electromagnetics in Advanced Applications

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Direction Of Arrival (DOA) estimation is a well known problem involved in different applications. The latest of these applications have greater constraints which make necessary new efforts in estimating the DOA with fewer snapshots. In that sense, this paper presents an iterative method based on Particle Swarm Optimization that solves the problem with a single snapshot. The performance of this algorithm is analyzed and shown with numerical results under different scenarios. Conclusions are also provided.

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Section: Introductionmentioning

confidence: 99%