Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight
A Feedback Particle Swarm Optimization (FPSO) with a family of fitness functions is proposed to minimize sidelobe level (SLL) and control null. In order to search in a large initial space and converge fast in local space to a refined solution, a FPSO with nonlinear inertia weight algorithm is develo...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2016/1829458 |
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| author | Chuang Han Ling Wang |
| author_facet | Chuang Han Ling Wang |
| author_sort | Chuang Han |
| collection | DOAJ |
| description | A Feedback Particle Swarm Optimization (FPSO) with a family of fitness functions is proposed to minimize sidelobe level (SLL) and control null. In order to search in a large initial space and converge fast in local space to a refined solution, a FPSO with nonlinear inertia weight algorithm is developed, which is determined by a subtriplicate function with feedback taken from the fitness of the best previous position. The optimized objectives in the fitness function can obtain an accurate null level independently. The directly constrained SLL range reveals the capability to reduce SLL. Considering both element positions and complex weight coefficients, a low-level SLL, accurate null at specific directions, and constrained main beam are achieved. Numerical examples using a uniform linear array of isotropic elements are simulated, which demonstrate the effectiveness of the proposed array pattern synthesis approach. |
| format | Article |
| id | doaj-art-d4d6dcf3720a482e81330c66bfca6cd2 |
| institution | DOAJ |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-d4d6dcf3720a482e81330c66bfca6cd22025-08-20T03:23:50ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/18294581829458Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia WeightChuang Han0Ling Wang1School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaA Feedback Particle Swarm Optimization (FPSO) with a family of fitness functions is proposed to minimize sidelobe level (SLL) and control null. In order to search in a large initial space and converge fast in local space to a refined solution, a FPSO with nonlinear inertia weight algorithm is developed, which is determined by a subtriplicate function with feedback taken from the fitness of the best previous position. The optimized objectives in the fitness function can obtain an accurate null level independently. The directly constrained SLL range reveals the capability to reduce SLL. Considering both element positions and complex weight coefficients, a low-level SLL, accurate null at specific directions, and constrained main beam are achieved. Numerical examples using a uniform linear array of isotropic elements are simulated, which demonstrate the effectiveness of the proposed array pattern synthesis approach.http://dx.doi.org/10.1155/2016/1829458 |
| spellingShingle | Chuang Han Ling Wang Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight International Journal of Antennas and Propagation |
| title | Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight |
| title_full | Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight |
| title_fullStr | Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight |
| title_full_unstemmed | Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight |
| title_short | Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight |
| title_sort | array pattern synthesis using particle swarm optimization with dynamic inertia weight |
| url | http://dx.doi.org/10.1155/2016/1829458 |
| work_keys_str_mv | AT chuanghan arraypatternsynthesisusingparticleswarmoptimizationwithdynamicinertiaweight AT lingwang arraypatternsynthesisusingparticleswarmoptimizationwithdynamicinertiaweight |