Beam space generalized sidelobe canceller algorithm based on particle swarm optimization

被引：0
作者：
Li H. [1 ]
Xiang J. [1 ]
Peng F. [1 ]
Wang S. [1 ]
Li Z. [1 ]
机构：
[1] Aviation Engineering School, Air Force Engineering University, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 10期
关键词：
adaptive transformation matrix; beamforming; compression factor; particle swarm optimization (PSO); robustness;
D O I：
10.12305/j.issn.1001-506X.2022.10.06
中图分类号：
学科分类号：
摘要：
In view of the large amount of computation of the generalized sidelobe canceller (GSC) algorithm, there are problems of high sidelobe and poor robustness in beamforming. A method based on particle swarm optimization (PSO) is proposed. Firstly, an optimized adaptive conversion matrix is established to transform the signal processing process from array element space to beam space, and the computational complexity of the algorithm is reduced by reducing the degree of freedom. Secondly, the minimum mean square error fitness function is constructed, and the compression factor PSO algorithm is used in the beam space. The correlation of the received data is used to reduce the error with the desired signal and reduce the beam sidelobe. The proposed algorithm not only reduces the amount of calculation, but also solves the problem of too high beam sidelobe. It has good beamforming ability and good robustness under the conditions of low snapshot and strong interference. © 2022 Chinese Institute of Electronics. All rights reserved.
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页码：3037 / 3045
页数：8
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