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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Vydané v:International journal of antennas and propagation Ročník 2024; číslo 1
Hlavní autori: Liu, Chao, Zhu, Tongtao, Qian, Junjie, Zhang, Lei, Zhang, Xiaoyuan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York John Wiley & Sons, Inc 2024
Wiley
Predmet:
Algorithms
Antennas
Approximation
Arrays
Constraints
Convex analysis
Convexity
Decomposition
Directivity
Maximization
Methods
Optimization
Sidelobe reduction
Sidelobes
Synthesis
Taylor series
ISSN:1687-5869, 1687-5877
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1687-5869
1687-5877
DOI:10.1155/2024/9320514