气象条件对电磁天线测量特性的影响  

Impact of the Meteorological Conditions on Measuring Characteristics of Electromagnetic Antennas

作　　者：张黎[1] 李庆民[1] 王伟[1] W H Siew 

机构地区：[1]山东大学电气工程学院,济南250061 [2]英国Strathclyde大学电机与电子工程系

出　　处：《高电压技术》2009年第8期1963-1969,共7页High Voltage Engineering

基　　金：国家自然科学基金(50577039);教育部新世纪优秀人才支持计划(NCET-08-0335)~~

摘　　要：现场测试气象条件与标准校核条件可能存在较大差别,因此有必要研究不同气象条件对电磁天线测量特性的影响。基于实验研究、数字信号处理、改进的复向量拟合法以及人工神经网络,提出了一种分析、预测气象条件对电磁天线测量特性影响的一般方法。其中,实验研究和数字信号处理技术用以获取各种气象条件下的天线响应特性;改进的复向量拟合法用以获取天线频域特性的传递函数;BP神经网络用以建立气象条件与天线参数之间的非线性映射关系。实验与分析结果表明,利用该方法能够分析气象条件的影响,并可根据气象条件变化对天线的参数做出有效的预测。The meteorological conditions of on-site measurement may differ a lot from the standard calibration condition, so it is necessary to analyze the impact of meteorological conditions, such as temperature, humidity and atmosphere pressure, on the measurement accuracy of antennas. Based on experimental study, digital signal processing, improved vector fitting methods and artificial neural networks （ANN）, a comprehensive strategy is presented to an- alyze and predict the impact of meteorological conditions on antenna＇s characteristics. Experiments and digital signal processing technology are utilized to obtain the frequency response of an antenna under various meteorological conditions, an improved vector fitting method is then proposed to acquire the transfer function of the antenna, while a BP neural network is constructed to establish the nonlinear mapping between the meteorological conditions and the antenna＇s parameters. Experimental and analyzed results show that, the proposed methodology can analyze the concrete impact from meteorological conditions, and thereby realize effective prediction of the antenna＇s parameters with regards to variation of meteorological conditions.

关 键 词：天线 气象条件 数字信号处理 传递函数 复向量拟合法 人工神经网络 

分 类 号：TM937[电气工程—电力电子与电力传动]