Convex Optimization Algorithm for Maximizing Directivity of Conformal Array With DRR Constraint

The inconsistency of conformal array elements poses a huge challenge to pattern synthesis. Based on convex optimization theory, this paper proposes a novel directivity pattern synthesis method. It can maximize the directivity of dual-polarized conformal arrays with a low dynamic range ratio (DRR). F...

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Bibliographic Details
Main Authors: Chao Liu, Tongtao Zhu, Junjie Qian, Lei Zhang, Xiaoyuan Zhang
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2024/9320514
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Summary:The inconsistency of conformal array elements poses a huge challenge to pattern synthesis. Based on convex optimization theory, this paper proposes a novel directivity pattern synthesis method. It can maximize the directivity of dual-polarized conformal arrays with a low dynamic range ratio (DRR). Firstly, the directivity function is presented under a dual-polarized conformal array. Then the pattern synthesis based on maximizing directivity is summarized as a multiconstraint optimization problem. In addition, the DRR constraint is introduced to control the weight range. By using Taylor expansion, the problem is transformed into a convex optimization problem and solved iteratively. Finally, simulation results demonstrate that the proposed method can effectively achieve a good directivity pattern with low sidelobe level (SLL) and low DRR.
ISSN:1687-5877