2011•Jisuanji fangzhenRequires access

Improvement of the DOA Performance Via Circular Array Optimization by Genetic Algorithm

Tao Chen

Abstract

To improve the performance of the conventional beamforming method(CBF) on the direction of arrival(DOA) estimation with minimal sensors,a circular array with two circles is optimized through genetic algorithm.In the case of single and multiple sources,we optimize the array geometry to minimize the beamwidth or the maximum sidelobe level with different object functions.The simulation results show that the beamwidth of the designed array is smaller about 1 degree than that of the original circular array.The sidelobe level declines about 3dB.And the optimized array has better performance with different frequency bands and signal to noise ratios.

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Key concepts: Beamwidth, Circular buffer, Beamforming, Algorithm, Direction of arrival, Genetic algorithm, Sensor array, Signal-to-noise ratio (imaging)