Synthesis of sparse conformal arrays through multi-task learning method

Longjun Li; Zhigang Gu; Lei Xia; Bing Han

doi:10.1117/12.3041944

11 September 2024 Synthesis of sparse conformal arrays through multi-task learning method

Longjun Li, Zhigang Gu, Lei Xia, Bing Han

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132530E (2024) https://doi.org/10.1117/12.3041944
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

In this letter, we propose a multi-task learning (MTL) method for efficient design of sparse conformal arrays with weighting optimization. The problem is to find a set of optimal weights with minimum dipole antennas that will generate a beam pattern radiated by the uniform conformal array. Simulation results are also shown that a sparse conformal antenna array design with favorable pattern-matching is obtained by MTL method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Longjun Li, Zhigang Gu, Lei Xia, and Bing Han "Synthesis of sparse conformal arrays through multi-task learning method", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132530E (11 September 2024); https://doi.org/10.1117/12.3041944

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