Effective approach for conformal subarray design based on maximum entropy of planar mappings

Abstract

In this paper, an effective algorithm for optimizing the subarray of conformal arrays is proposed. The method first divides the conformal array into several first-level subarrays. It uses the X algorithm to solve the feasible solution of first-level subarray tiling and employs the particle swarm algorithm to optimize the conformal array subarray tiling scheme with the maximum entropy of the planar mapping as the fitness function. Subsequently, convex optimization is applied to optimize the subarray amplitude phase. Data results verify that the method can effectively find the optimal conformal array tiling scheme.

Keywords

Conformal array / Irregular arrays / Particle swarm optimal algorithm / Maximum entropy model

Funding

This work was supported by the Advanced Functional Composites Technology Key Laboratory Fund under Grant No. 6142906220404 and Sichuan Province Centralized Guided Local Science and Technology Development Special Project under Grant No. 2022ZYD0121.

Declaration of competing interest

The authors declare no conflicts of interest.

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