基于改进粒子群算法的平面阵同时多波束赋形方法

doi:10.12305/j.issn.1001-506X.2022.06.04

Abstract

Abstract:

To meet the requirements of the current planar array simultaneous multi-beam forming, a simultaneous multi-beam forming method of planar array based on improved particle swarm algorithm is proposed. Adaptive operation particle structure and anti-gradient weighting are used in particle swarm optimization algorithm as innovation points. The probability of operation particle structure is adaptively adjusted according to the convergence degree of particle swarm to balance the global exploration and local utilization ability of the particle swarm. According to the degree of multi-objective optimization, each optimization index is weighted to suppress the imbalance of multi-objective optimization, and the phase and amplitude are optimized to obtain low sidelobe, narrow beam width and high gain. The experiment results and comparisons with well-konwn nonlinear intelligent optimization multi-beam forming methods show the method has better effect on multi beam forming of arbitrary planar array with more elements.

Key words: planar array, simultaneous multi-beam forming, particle swarm algorithm, adaptive operation particle structure, anti-gradient weighting

CLC Number:

TN985.92

Fa WEI, Minglei YANG, Xiaojing HE, Dingsen ZHOU, Baixiao CHEN. Simultaneous multi-beam forming method for planar array based on improved particle swarm algorithm[J]. Systems Engineering and Electronics, 2022, 44(6): 1789-1797.

Figures/Tables 17

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算法	平均增益/ dB	俯仰波束宽度/(°)	方位波束宽度/(°)	旁瓣电平/ dB
IPSO1	28.54	10.0	13.50	－4.665 0
IPSO2	24.78	16.0	13.00	－4.464 0
GA	28.35	11.5	12.75	－4.093 5
GSA	32.00	10.0	13.50	－9.900 0
IPSO3	33.53	10.0	12.25	－12.345 0

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Simultaneous multi-beam forming method for planar array based on improved particle swarm algorithm

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