Beamforming of a Linear Array Applying PSO Algorithm with Restrictive Approach

Ludwig-Barbosa, Vinícius; Schlosser, Edson R.; Lucatel, Cleiton; Machado, Renato; Heckler, Marcos V. T.

doi:10.14209/jcis.2016.11

Cited by 1 publication

(1 citation statement)

References 21 publications

(21 reference statements)

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“…PSO algorithm is used for beamforming in [28] with a restrictive approach to synthesize four radiation patterns for a four-element array. An adaptive array beamformer using PSO is proposed in [29], where an initial DOA estimate is first determined using a PSO estimator to improve the overall beamformer performance.…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Array Beamforming Method for Arrays of Flexible Shape

Meng,

Zhang,

Temiz

et al. 2024

Electronics

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High-performance beamforming incorporating multiple objectives for large-scale antenna arrays becomes increasingly important to improve the capacity and efficiency of wireless communication systems. The speed of synthesizing a desired beam pattern is critical in wireless communications systems to adapt to highly dynamic wireless channels. A modified particle swarm optimization (PSO) algorithm for synthesizing array beam patterns is proposed in this study. The initial positions of particles in PSO are designated following a Taylor distribution instead of being given uniformly distributed random values as in the classical PSO algorithm. The fitness functions are defined to include multiple objectives represented by producing multiple main lobes with customized deep and broadened nulls. Several scenarios have been established to examine the feasibility of the proposed algorithm. Moreover, the performance of the proposed algorithm is compared with those of the ones based on the classical PSO. A significant performance improvement for obtaining beamforming coefficients has been achieved. The robustness of the proposed algorithm is demonstrated further by applying it to a finite array on a curved surface for beamforming.

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Section: Introductionmentioning

confidence: 99%