An Optimization Technique Utilizing Genetic Algorithm for the Synthesis of Large Thinned Planar Antenna Array with Low Peak Side Lobe Level

被引：0
|
作者：
Suman, Kundan Kumar [1 ]
Ashwin, P. [2 ]
Miranda, Allen, V [2 ]
Gangwar, V. S. [3 ]
Gangwar, R. K. [1 ]
机构：
[1] IIT ISM, Dept Elect Engn, Dhanbad 826004, Jharkhand, India
[2] Oxford Coll Engn TOCE, Dept Elect & Commun Engn, Bangalore 560068, Karnataka, India
[3] DRDO, Elect & Radar Dev Estab LRDE, Bangalore 560093, Karnataka, India
来源：
2018 3RD INTERNATIONAL CONFERENCE ON MICROWAVE AND PHOTONICS (ICMAP) | 2018年
关键词：
Large thinned planar antenna (LTPA) array; peak side lobe level (PSLL); Improved genetic algorithm (IGA);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an efficient optimization technique for the synthesis of large thinned planar antenna (LTPA) arrays is proposed. The main objective is to achieve optimal planar thinned array configuration which yields lowest possible low peak side lobe levels (PSLL). Towards this aim, authors employed improved genetic algorithm (IGA) in which some advancement in crossover and mutation operators are introduced to enhance algorithm performance. A 50x50 element LTPA array is numerically analysed to assess the performance of the proposed method. Results obtained through this study demonstrate that significant amount of reduction in PSLL is acheived.
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页数：2
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