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有源可调微波吸收体分析与优化
引用本文:戚开南,汪勇峰,侯新宇,陈军文. 有源可调微波吸收体分析与优化[J]. 北京航空航天大学学报, 2015, 41(10): 1853-1858. DOI: 10.13700/j.bh.1001-5965.2015.0211
作者姓名:戚开南  汪勇峰  侯新宇  陈军文
作者单位:1.中国传媒大学信息工程学院, 北京 100024
摘    要:为解决无源雷达吸波材料带宽有限的问题,基于传输线理论设计了一种有源可调微波吸收体.该吸收体是在Salisbury屏的拓扑结构基础上,用基于PIN二极管可控的有源频率选择表面(FSS)代替传统的电阻层.反射率测量结果表明,通过改变二极管的偏置电流可以动态调节吸收体的最佳吸波频率;当偏置电流在0~0.5mA之间变化时,吸收体的最佳吸波频率在7~12.5GHz频率范围内动态调整.基于遗传算法,优化设计了一种具有双极化吸波特性的十字型可调微波吸收体,仿真结果表明该吸收体在5.6~17.6GHz范围内实现了最佳吸波频率的可控迁移. 

关 键 词:传输线理论   微波吸收体   频率选择表面(FSS)   偏置电流   优化
收稿时间:2015-04-10

Analysis and optimization of active tunable microwave absorber
QI Kainan,WANG Yongfeng,HOU Xinyu,CHEN Junwen. Analysis and optimization of active tunable microwave absorber[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(10): 1853-1858. DOI: 10.13700/j.bh.1001-5965.2015.0211
Authors:QI Kainan  WANG Yongfeng  HOU Xinyu  CHEN Junwen
Affiliation:1.School of Information Engineering, Communication University of China, Beijing 100024, China2. Science and Technology on Electromagnetic Scattering Laboratory, Beijing 100854, China
Abstract:In order to improve the limited band of passive radar absorbing materials, an active tunable microwave absorber was designed based on transmission line theory. The absorber was a planar structure based upon the topology of a Salisbury screen, but in which the conventional resistive layer was replaced by an active frequency selective surface (FSS) controlled by PIN diodes. Measured data of reflectivity are presented and show that the reflectivity response of the absorber can be controlled by changing bias current. When bias current changes from 0 to 0.5mA, the optimal absorbing frequency can be controlled over the frequency band from 7GHz to 12.5GHz. A double polarization tunable microwave absorber is optimized based on genetic algorithm, simulation results show that the reflectivity response of the absorber can be controlled over the frequency band from 5.6GHz to 17.6GHz.
Keywords:transmission line theory  microwave absorber  frequency selective surface (FSS)  bias current  optimization
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