A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams
To comprehensively address the challenges of aperture design, element spacing optimization, and sidelobe suppression in sparse radar array antennas, this paper proposes a hybrid particle swarm optimization (PSO) algorithm that integrates quantum-behavior mechanisms with genetic mutation. The algorit...
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MDPI AG
2025-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/12/6490 |
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| author | Youzhi Liu Linshu Huang Xu Xie Huijuan Ye |
| author_facet | Youzhi Liu Linshu Huang Xu Xie Huijuan Ye |
| author_sort | Youzhi Liu |
| collection | DOAJ |
| description | To comprehensively address the challenges of aperture design, element spacing optimization, and sidelobe suppression in sparse radar array antennas, this paper proposes a hybrid particle swarm optimization (PSO) algorithm that integrates quantum-behavior mechanisms with genetic mutation. The algorithm enhances global search capability through the introduction of a quantum potential well model, while incorporating adaptive mutation operations to prevent premature convergence, thereby improving optimization accuracy during later iterations. The simulation results demonstrate that for sparse linear arrays, planar rectangular arrays, and multi-ring concentric circular arrays, the proposed algorithm achieves a sidelobe level (SLL) reduction exceeding 0.24 dB compared to conventional approaches, including the grey wolf optimizer (GWO), the whale optimization algorithm (WOA), and classical PSO. Furthermore, it exhibits superior global iterative search performance and demonstrates broader applicability across various array configurations. |
| format | Article |
| id | doaj-art-b10c72abac31422598f3a0cca86c1b51 |
| institution | Matheson Library |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b10c72abac31422598f3a0cca86c1b512025-06-25T13:24:55ZengMDPI AGApplied Sciences2076-34172025-06-011512649010.3390/app15126490A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern DiagramsYouzhi Liu0Linshu Huang1Xu Xie2Huijuan Ye3School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaSchool of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaSchool of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaOrdnance Engineering College, Naval University of Engineering, Wuhan 430033, ChinaTo comprehensively address the challenges of aperture design, element spacing optimization, and sidelobe suppression in sparse radar array antennas, this paper proposes a hybrid particle swarm optimization (PSO) algorithm that integrates quantum-behavior mechanisms with genetic mutation. The algorithm enhances global search capability through the introduction of a quantum potential well model, while incorporating adaptive mutation operations to prevent premature convergence, thereby improving optimization accuracy during later iterations. The simulation results demonstrate that for sparse linear arrays, planar rectangular arrays, and multi-ring concentric circular arrays, the proposed algorithm achieves a sidelobe level (SLL) reduction exceeding 0.24 dB compared to conventional approaches, including the grey wolf optimizer (GWO), the whale optimization algorithm (WOA), and classical PSO. Furthermore, it exhibits superior global iterative search performance and demonstrates broader applicability across various array configurations.https://www.mdpi.com/2076-3417/15/12/6490sparse antenna arrayquantum-behaved particle swarm optimizationparticle swarm optimizationsidelobe levelgenetic algorithm |
| spellingShingle | Youzhi Liu Linshu Huang Xu Xie Huijuan Ye A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams Applied Sciences sparse antenna array quantum-behaved particle swarm optimization particle swarm optimization sidelobe level genetic algorithm |
| title | A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams |
| title_full | A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams |
| title_fullStr | A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams |
| title_full_unstemmed | A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams |
| title_short | A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams |
| title_sort | hybrid optimization algorithm for the synthesis of sparse array pattern diagrams |
| topic | sparse antenna array quantum-behaved particle swarm optimization particle swarm optimization sidelobe level genetic algorithm |
| url | https://www.mdpi.com/2076-3417/15/12/6490 |
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