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A Novel Subarray Partitioning Algorithm for Small Sparse Transmitting Arrays in Microwave Power Transmission.

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Titel: A Novel Subarray Partitioning Algorithm for Small Sparse Transmitting Arrays in Microwave Power Transmission.
Autoren: Yuecheng Cui, Jianxiong Li
Quelle: Progress in Electromagnetics Research M; 2024, Vol. 129, p131-139, 9p
Schlagwörter: MICROWAVE power transmission, PARTICLE swarm optimization, PARALLEL algorithms, ALGORITHMS
Abstract: To enhance the performance of microwave power transmission (MPT) systems' transmitting arrays, it is essential to comprehensively consider key factors such as beam collection efficiency (BCE), the level of sidelobes outside the reception area (CSL), and expense. Current transmitting array models commonly suffer from issues like low BCE, a large number of array elements, and complex feeding systems. Addressing these issues, this paper proposes a novel transmitting array design referred to as Large Spacing Nonuniform-Excitation Sparse Planar Array (LSNSPA) and introduces a new subarray partitioning algorithm named Multi-Parameter Dynamic Weight Particle Swarm Optimization for Rectangular Subarrays (MP-DWPSO-RS). The algorithm is capable of optimizing the subarray structure, as well as the element positions and excitations, during each iteration. This paper achieves a relatively higher BCE metric than other arrays by utilizing only a small number of subarrays, through the combination of a large-spacing distribution strategy and a subarray partitioning strategy. Simulations have verified that the proposed MP-DWPSO-RS algorithm can achieve a BCE of nearly 94% when optimizing the LSNSPA with an aperture of 4.5λ x 4.5λ consisting of 8 x 8 elements. [ABSTRACT FROM AUTHOR]
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Abstract:To enhance the performance of microwave power transmission (MPT) systems' transmitting arrays, it is essential to comprehensively consider key factors such as beam collection efficiency (BCE), the level of sidelobes outside the reception area (CSL), and expense. Current transmitting array models commonly suffer from issues like low BCE, a large number of array elements, and complex feeding systems. Addressing these issues, this paper proposes a novel transmitting array design referred to as Large Spacing Nonuniform-Excitation Sparse Planar Array (LSNSPA) and introduces a new subarray partitioning algorithm named Multi-Parameter Dynamic Weight Particle Swarm Optimization for Rectangular Subarrays (MP-DWPSO-RS). The algorithm is capable of optimizing the subarray structure, as well as the element positions and excitations, during each iteration. This paper achieves a relatively higher BCE metric than other arrays by utilizing only a small number of subarrays, through the combination of a large-spacing distribution strategy and a subarray partitioning strategy. Simulations have verified that the proposed MP-DWPSO-RS algorithm can achieve a BCE of nearly 94% when optimizing the LSNSPA with an aperture of 4.5λ x 4.5λ consisting of 8 x 8 elements. [ABSTRACT FROM AUTHOR]
ISSN:19378726
DOI:10.2528/PIERM24070903