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| Citation: |
DOU Huijing, ZHU Ziyun, GAO Lijing. Two-dimensional MUSIC Spectral Peak Search Algorithm Based on Chicken Swarm Optimization[J]. Journal of Beijing University of Technology, 2018, 44(11): 1409-1413. DOI: 10.11936/bjutxb2017090019
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Since the two-dimensional MUSIC algorithm has a large amount of computation and slow computation when estimating the angle of arrival, a two-dimensional MUSIC spectral peak search algorithm was proposed based on chicken swarm optimization (CSO). This optimization combined the chicken swarm algorithm with the MUSIC algorithm and the CSO algorithm was applied to the spectral search part, and the angle corresponding to the spectral peaks was searched rapidly with a better searching capability of CSO. Simulation experiments show that the CSO can effectively overcome the computational complexity and huge volume of computation complexity in spectral peak search and by comparing with other bionic algorithms, the CSO has quicker convergence, greater stability and better accuracy.
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