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带限周期函数的Fourier插值法在天线测量中的应用
引用本文:付煜洲,杨佳蔚,王朕,商锋.带限周期函数的Fourier插值法在天线测量中的应用[J].电波科学学报,2022,37(4):699-703.
作者姓名:付煜洲  杨佳蔚  王朕  商锋
作者单位:1.西安邮电大学电子工程学院, 西安 710121
摘    要:天线远场测量是获得其辐射特性的一种常用方法,为得到方向图的细节,测量方向图的角度间隔一般应小于待测天线半功率波束宽度的1/10,否则会导致方向图相关参数如半功率波束宽度、副瓣电平等的不准确. 针对高增益、窄波束天线的远场测量,为了得到精确测量结果,测量间隔要求非常小,导致测试时间长,测试效率低下. 文中提出了一种基于带限周期函数的Fourier插值法的高效率方向图测试方法,此方法将采样间隔增加到待测天线半功率波束宽度量级,仍然可以准确重构出角度间隔任意小的方向图,从而能够显著提高测试效率. 仿真和实测结果证明了本方法的可行性.

关 键 词:天线测量    远场    带限周期函数    Fourier插值法
收稿时间:2021-06-10

Application of Fourier interpolation method with limited periodic function in antenna radiation pattern measurement
Affiliation:1.School of Electronic Engineering, Xi’an University of Posts & Telecommunications, Xi’an 710121, China2.Guangdong Mikwave Communication Tech. Ltd., Guangzhou, Guangdong, 510700, China3.Institution of Xi’an Space Radio Technology Research, Xi’an 710000, China
Abstract:Far-field antenna measurement is a traditional method to obtain antenna radiation characteristics. In order to analyze the details of the radiation pattern, the angular interval of the measured radiation pattern should generally be less than 1/10 of the half-power beam width of the antenna under test, otherwise it may introduce errors to the antenna radiation parameters (half-power beam width, sidelobe level, etc.). For the far-field measurement of a high-gain, narrow-beam antenna, in order to obtain accurate results, the measurement interval should be very small, leading to long measurement time and reducing measurement efficiency. High efficiency antenna measurement of Fourier interpolation method based on band-limited periodic function is given in this paper and has been used in practical antenna measurement. Using the proposed method, the sampling interval can be increased to the order of the half-power beam width of the antenna under test, and the radiation pattern of arbitrarily small angular intervals can be reconstructed accurately, which can significantly improv the measurement efficiency. Simulated and measured results prove effectiveness of the algorithm.
Keywords:
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