DOAJ Open Access 2024

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

Chao Liu Tongtao Zhu Junjie Qian Lei Zhang Xiaoyuan Zhang

Abstrak

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.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering Cellular telephone services industry. Wireless telephone industry

Penulis (5)

Chao Liu

Tongtao Zhu

Junjie Qian

Lei Zhang

Xiaoyuan Zhang

Format Sitasi

APA MLA BibTeX

Liu, C., Zhu, T., Qian, J., Zhang, L., Zhang, X. (2024). Convex Optimization Algorithm for Maximizing Directivity of Conformal Array With DRR Constraint. https://doi.org/10.1155/2024/9320514

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1155/2024/9320514
Akses: Open Access ✓