• 电子信息与电气工程 •

### 源重构近远场变换的探头补偿算法

1. 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

1. 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

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.