A Multibeam Subarray Partition Design Via Iterative Excitation Amplitude Tournament

Ke Wang, Hailin Li*, Yuan Ding, Jing Tan, Xiao Dong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

The subarray-level multibeam structure is advantageous for minimizing system complexity and enhancing multi-target detection and estimation performance. Furthermore, the subarray configuration plays a major role in determining the multibeam antenna pattern parameters. Therefore, we propose a subarray partition technique based on the tournament algorithm to enable spatial multibeam synthesis. In this paper, subarray configuration and excitation are alternately optimized through multiple rounds of tournament iterations. Each iteration calculates subarray excitations using convex optimization methods to fulfill requirements for the main radiation direction and low sidelobes, among other performance criteria. At the same time, excitations for each unassigned array element are calculated within each subarray separately. Simulation results for linear arrays demonstrate the proposed algorithm is not only suitable for linear arrays but also applicable to other array configurations, such as circular ring arrays and cylindrical arrays. And the proposed algorithm is effective in subarray periodicity, suppressing sidelobe levels, and allocating resources based on priority.
Original languageEnglish
Pages (from-to)101949-101958
Number of pages10
JournalIEEE Access
Volume11
Early online date15 Sept 2023
DOIs
Publication statusPublished - 2023

Keywords

  • Antenna arrays
  • Clustering algorithms
  • Heuristic algorithms
  • Linear antenna arrays
  • Mathematical models
  • Optimization
  • Partitioning algorithms
  • antenna pattern synthesis
  • multibeam antennas
  • sidelobe suppression
  • subarray partition

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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