Subarray Design for Multibeam Radars with Clustering Methods

Sivasankar, M.; Hegde, Rajesh M.

doi:10.23919/irs48640.2020.9253902

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…In [26], precise partition methods and quasi-precise partition methods of the X algorithm were used in the circular array. Sivasankar and Hegde used a weighted clustering algorithm to obtain subarray configurations and multibeam patterns in the hexagonal array in [27]. The differential evolution algorithm proposed in [28] is beneficial for finding subarray configurations for arc arrays.…”

Section: Introductionmentioning

confidence: 99%

A Multibeam Subarray Partition Design via Iterative Excitation Amplitude Tournament

Wang,

Li,

Ding

et al. 2023

IEEE Access

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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.

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Section: Introductionmentioning

confidence: 99%