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Design of Sparse Wideband Frequency-Invariant Beamforming Based on Hybrid Grey Wolf-l∞-Norm Algorithm.

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Bibliographic Details
Title: Design of Sparse Wideband Frequency-Invariant Beamforming Based on Hybrid Grey Wolf-l∞-Norm Algorithm.
Authors: Guihan Xie, Bin Wang, Kui Tao
Source: Progress in Electromagnetics Research C; 2025, Vol. 155, p147-157, 11p
Subject Terms: OPTIMIZATION algorithms, IMPULSE response, SPATIAL variation, PROBLEM solving, ALGORITHMS
Abstract: A novel hybrid algorithm is proposed for frequency-invariant (FI) beam pattern synthesis of wideband nonuniformly spaced array (NUSA), which combines intelligent optimization algorithm with convex optimization algorithm. The improved grey wolf optimization (IGWO) algorithm is employed to optimize the positions of the array elements, while l8-norm is introduced to describe spatial response variation (SRV) for optimizing the finite impulse response (FIR) filter weights of the array. Considering multiple constraints, such as array aperture and minimum spacing between elements, an optimal trade-off among constant beamwidth, FI characteristics, and peak sidelobe level (PSL) is achieved. The effectiveness and advantages of this method are evidenced by synthesis examples of FI beam patterns for wideband NUSA in different application scenarios. These experimental results hold important theoretical significance, and provide valuable references for solving the optimization problem of wideband FI array under multiple constraints. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:A novel hybrid algorithm is proposed for frequency-invariant (FI) beam pattern synthesis of wideband nonuniformly spaced array (NUSA), which combines intelligent optimization algorithm with convex optimization algorithm. The improved grey wolf optimization (IGWO) algorithm is employed to optimize the positions of the array elements, while l8-norm is introduced to describe spatial response variation (SRV) for optimizing the finite impulse response (FIR) filter weights of the array. Considering multiple constraints, such as array aperture and minimum spacing between elements, an optimal trade-off among constant beamwidth, FI characteristics, and peak sidelobe level (PSL) is achieved. The effectiveness and advantages of this method are evidenced by synthesis examples of FI beam patterns for wideband NUSA in different application scenarios. These experimental results hold important theoretical significance, and provide valuable references for solving the optimization problem of wideband FI array under multiple constraints. [ABSTRACT FROM AUTHOR]
ISSN:19378718
DOI:10.2528/PIERC25031201