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无线传感器网络微型节点设计的电磁建模方法
引用本文:吴银锋,万江文,冯仁剑.无线传感器网络微型节点设计的电磁建模方法[J].北京邮电大学学报,2008,31(2):10-14.
作者姓名:吴银锋  万江文  冯仁剑
作者单位:北京邮电大学,自动化学院,北京,100876;北京航空航天大学,仪器科学与光电工程学院,北京,100083
基金项目:北京市自然科学基金,国家高技术研究发展计划(863计划)
摘    要:为解决微型无线传感器节点设计过程中无法分析射频微机电(RF MEMS)器件微小可动结构的电磁特性问题,提出一种电磁建模方法——变形时域交替方向隐式有限差分法。采用有限差分技术,引入时间变量实现一维垂直运动结构动态方程的时域离散;讨论了时域交替方向隐式有限差分法(ADI-FDTD)的三维数值色散关系;提出线性电(磁)介质参数插值的方法,解决了运动结构的机械时空步与电磁时空步的不一致问题,实现了复杂三维动态结构的时域描述。仿真实验验证了该方法可行有效。

关 键 词:无线传感器网络  射频微机电器件  电磁建模  线性插值
文章编号:1007-5321(2008)02-0010-05
收稿时间:2007-6-26
修稿时间:2007年6月26日

Electromagnetic Modeling of Micro Sensor Node for Wireless Sensor Network
WU Yin-feng,WAN Jiang-wen,FENG Ren-jian.Electromagnetic Modeling of Micro Sensor Node for Wireless Sensor Network[J].Journal of Beijing University of Posts and Telecommunications,2008,31(2):10-14.
Authors:WU Yin-feng  WAN Jiang-wen  FENG Ren-jian
Affiliation:1. School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. School of Instrument Science &; Opto-electronics Engineering, Beihang University, Beijing 100083, China
Abstract:Modeling radio frequency micro-electro-mechanical system (RF MEMS) device for electromagnetic analysis is difficulty, especially with small feature size and movable structures. A new electromagnetic modeling method, deformed alternating-direction implicit method finite difference time domain (DADI-FDTD), is proposed. The dynamic equation of motion is dispersed in time domain using finite difference methods (FDM). Numerical dispersion is discussed in the three-dimensional ADI-FDTD method. A new algorithm, dielectric interpolations, is presented, it is capable of solving the conflict of the time and special steps between the mechanical portion and electromagnetic (EM) portion. And it’s able to implement the EM modeling in time domain of complex three-dimensional structures. Simulation results demonstrate the feasibility of the method.
Keywords:wireless sensor network  radio frequency microelectromechanical system devices  electromagnetic modeling  linear interpolation
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