A Novel Hybrid Evolutionary Algorithm for Pattern Synthesis in Time-modulated Antenna Arrays

被引：0

作者：

Liu, Yan ^{[1
]}

Zhang, Yaming ^{[2
]}

机构：

[1] Yunnan Normal Univ, Sch Informat Sci & Technol, Kunming, Yunnan, Peoples R China

[2] Yunnan Normal Univ, Minist Educ, Key Lab Educ Informalizat Nationalities, Kunming, Yunnan, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2019) | 2019年

关键词：

antenna arrays; time-modulated; evolutionary algorithm; Invasive Weed Optimization; LINEAR ARRAYS; DIFFERENTIAL EVOLUTION;

D O I：

10.1109/iceiec.2019.8784503

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A hybrid Invasive Weed Optimization (HIWO) algorithm for pattern synthesis of time-modulated antenna arrays (TMAA) is presented by embedding the simplified quadratic approximation (SQA) into classical IWO in this paper. The proposed HIWO algorithm is applied to optimize the pulse durations of the time-modulated elements to achieve low sidelobe level, narrow first null beam width and low sideband level. Simulation results are compared with the results of existing literature to illustrate the advantages of the proposed HIWO algorithm.

引用

页码：608 / 610

页数：3

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