Research on spectral peak searching of twodimensional MUSIC based on improved chicken swarm optimization algorithm
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TN911.7

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    Abstract:

    Aiming at the problems of complex calculation and poor realtime performance of twodimensional MUSIC algorithm when searching for the spectral peaks, a twodimensional MUSIC spectral peak searching algorithm is proposed based on improved chicken swarm optimization (ICSO). This algorithm applies the ICSO to the spectral peak searching part. Firstly, the initial population is constructed by the theory of good point set. Secondly, the inertia weight function is composed of the feeding speed factor and the aggregation degree factor. Finally, the inertia weight is introduced into the position updating formula of the hen to make the algorithm quickly search the angle corresponding to the spectral peak. The results show that the proposed algorithm achieves the same searching accuracy as grid search method with lower time complexity. The time complexity is reduced by 648 times and the searching time is saved by 994%. Compared with the other three optimization algorithms, it has better convergence performance and higher searching precision.

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  • Received:
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  • Online: June 15,2023
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