源重构近远场变换的探头补偿算法

doi:10.16183/j.cnki.jsjtu.2021.221

上海交通大学学报 ›› 2022, Vol. 56 ›› Issue (11): 1541-1546.doi: 10.16183/j.cnki.jsjtu.2021.221

所属专题：《上海交通大学学报》2022年“电子信息与电气工程”专题

源重构近远场变换的探头补偿算法

袁浩波, 董欣欣(), 张瑞雪, 鲁榄埔, 陈曦

西安电子科技大学电子工程学院,西安 710071

收稿日期:2021-06-23 出版日期:2022-11-28 发布日期:2022-12-02
通讯作者: 董欣欣 E-mail:15091542878@163.com
作者简介:袁浩波(1980-),男,湖北省天门市人,副教授,从事计算电磁学、电磁兼容方面的研究.
基金资助:
国家自然科学基金(61501341);陕西省自然科学基金(2021JM-129)

A Probe Correction Technique for Near Field to Far Field Transform Based on Sources Reconstruction Method

YUAN Haobo, DONG Xinxin(), ZHANG Ruixue, LU Lanpu, CHEN Xi

School of Electronics Engineering, Xidian University, Xi’an 710071, China

Received:2021-06-23 Online:2022-11-28 Published:2022-12-02
Contact: DONG Xinxin E-mail:15091542878@163.com

摘要/Abstract

摘要：

源重构近远场变换方法在天线测量、天线诊断以及成像等方面的应用越来越多.该方法将待测天线的近场分布等效为包围待测天线的一个平面上的磁流作用,从而进行近远场变换,但现有源重构方法由于没有合适的探头补偿算法而精度较低.对此,首先根据互易定理给出等效磁流和探头接收信号之间的积分方程;然后用矩量法将其转化为矩阵方程,并求解出磁流分布;最后得到待测天线的方向图.波导探头测量喇叭天线的例子表明:所提方法得到的方向图的均方根误差仅为现有无补偿方法方向图均方根误差的1/3,该探头补偿算法准确有效.

关键词: 近远场变换, 源重构方法, 探头补偿, 互易定理, 矩量法

Abstract:

The sources reconstruction method (SRM) is widely applied to antenna measurement, antenna diagnostics and imaging, etc. It is a near field to far field transform, which utilizes near-field data to determine an equivalent magnetic current source over a fictitious flat surface enclosing the antenna under test. But the existing SRM is low in accuracy, since it does not have a proper probe correction algorithm. First, this paper introduces an integral equation connecting the equivalent magnetic current and the signal received by the probe according to the reciprocity theorem. Secondly, the integral equation is converted to a matrix equation by the method of moments and the magnetic current is determined by solving the matrix equation. Finally, the magnetic current leads to the pattern of the antenna under test readily. As an example, a horn is measured with a wave-guide probe and the receiving signals are processed by the proposed method to obtain the pattern, whose root mean square errors (RMSE) are only 1/3 of those of the pattern obtained by the SRM without probe correction. Therefore, the proposed probe correction algorithm is accurate and effective for the SRM.

Key words: near field to far field transform, sources reconstruction method (SRM), probe correction, reciprocity theorem, method of moment

中图分类号:

TN820

袁浩波, 董欣欣, 张瑞雪, 鲁榄埔, 陈曦. 源重构近远场变换的探头补偿算法[J]. 上海交通大学学报, 2022, 56(11): 1541-1546.

YUAN Haobo, DONG Xinxin, ZHANG Ruixue, LU Lanpu, CHEN Xi. A Probe Correction Technique for Near Field to Far Field Transform Based on Sources Reconstruction Method[J]. Journal of Shanghai Jiao Tong University, 2022, 56(11): 1541-1546.

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源重构近远场变换的探头补偿算法

A Probe Correction Technique for Near Field to Far Field Transform Based on Sources Reconstruction Method

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