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
Published in:International journal of antennas and propagation Vol. 2024; no. 1
Main Authors: Liu, Chao, Zhu, Tongtao, Qian, Junjie, Zhang, Lei, Zhang, Xiaoyuan
Format: Journal Article
Language:English
Published: New York John Wiley & Sons, Inc 2024
Wiley
Subjects:
Algorithms
Antennas
Approximation
Arrays
Constraints
Convex analysis
Convexity
Decomposition
Directivity
Maximization
Methods
Optimization
Sidelobe reduction
Sidelobes
Synthesis
Taylor series
ISSN:1687-5869, 1687-5877
Online Access:Get full text
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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.
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ISSN:1687-5869
1687-5877
DOI:10.1155/2024/9320514