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Telecommunication technologies, such as multiple-input multiple-output (MIMO) and beamforming (BF), play a crucial role in enhancing signal processing within antenna array for spatial transmissions. This study proposes a pattern synthesis approach for Uniform Linear Antenna (ULA) based on Swarm-Based Algorithms and the Adaptive Penalty Method (APM). The evaluation highlights the strengths and weaknesses of different weight management approaches. Furthermore, the study explores the application of the adaptive penalty methodology across various scenarios, providing comprehensive insights into its effectiveness.

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Pattern Synthesis of Uniform Linear Antenna Array Using Adaptive Penalty Method and Swarm-Based Algorithms

  • 会议论文

  • 发表日期：

    2026年

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  • Tran Hai Duong,
  • Tong Van Luyen

摘要

Telecommunication technologies, such as multiple-input multiple-output (MIMO) and beamforming (BF), play a crucial role in enhancing signal processing within antenna array for spatial transmissions. This study proposes a pattern synthesis approach for Uniform Linear Antenna (ULA) based on Swarm-Based Algorithms and the Adaptive Penalty Method (APM). The evaluation highlights the strengths and weaknesses of different weight management approaches. Furthermore, the study explores the application of the adaptive penalty methodology across various scenarios, providing comprehensive insights into its effectiveness.