Direction of Arrival Estimation Using Particle Swarm Optimization-based SPECC

This paper proposes a novel direction of arrival (DOA) estimation scheme using particle swarm optimization (PSO)-based SPECC (Signal Parameter Extraction via Component Cancellation). The proposed algorithm is a PSO-based optimization method and extracts the amplitudes and incident angles of signal s...

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Bibliographic Details
Published inProceedings of the International Conference on Genetic and Evolutionary Methods (GEM) p. 1
Main Author Choi, In-Sik
Format Conference Proceeding
LanguageEnglish
Published Athens The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) 01.01.2014
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Summary:This paper proposes a novel direction of arrival (DOA) estimation scheme using particle swarm optimization (PSO)-based SPECC (Signal Parameter Extraction via Component Cancellation). The proposed algorithm is a PSO-based optimization method and extracts the amplitudes and incident angles of signal sources impinging on a sensor array in a step-by-step procedure. On the other hand, other algorithms extract those parameters at the same time. Proposed algorithm is very fast, robust to noise and has a high resolution in DOA estimation. Simulation results using artificially created data show the accuracy in the angle estimation and robustness to noise.