基于混频器的非线性矢量网络分析仪双端口校准方法 -学兔兔 www.xuetutu.com.pdf

第31卷第10期
仪器仪表学报
ol. 3
2010年10月
Chinese Journal of Scientific Instrument
oct.2010
基于混频器的非线性矢量网络分析仪
双端口校准方法“
林茂六,张亦孢,张喆,徐清华
(哈尔滨工业大学哈尔滨150001)
摘要;基于混频器的非线性网络分析仪(NVNA)是一种新型的非线性网络测量平台。介绍了该平台的结构、原理、误差模型
和经典校准流程。结合NVNA的时不变测量特性,提出了2种新的双端口校准方案ーー- Absent Thru和 Blind Thru,并给出了具
体的校准流程。在新研制的NVNA原型样机上的实验表明,新方案与经典 Unknown Thru方法的校准结果相一致。新方案丰寓
了双端口NVNA校准手段,为NVNA的误差模型合理性以及校准结果准确性提供了有效的检验手段。
关键词:非线性矢量网络分析仪(NVNA);校准;诸波相位参考; Unknown Thru; Absent Thru; Blind Thru;8项误差模型
中图分类号:TN98文献标识码:A国家标准学科分类代码:470.4017
Two-port calibration methods for mixer-based
nonlinear vector network analvzer
Lin Maoliu, Zhang Yichi, Zhang Zhe, Xu Qinghua
(Harbin Institute of Technology, Harbin 150001, China
Abstract Mixer-based nonlinear vector network analyzer(N NA is a new type of platform for nonlinear network
measurements. This paper introduces its architecture, principle, error model and classical calibration procedure
Based on the time-invariant measuring feature of mixer-based NVNAS, two alternative two-port calibration schemes
Absent-thru-based and blind-thru-based schemes, are proposed with detailed illustrations. Experiments on a newly
developed NVNA prototype verify the equivalence between the outcome of classical unknown-thru-based calibration
scheme and
ose
of the new schemes. The new calibration procedures diversify the choices of two-port NVNA cali
bration, and offer a tool to examine the validity of the error model and the accuracy of calibration results of mixer
based NVNAS
Key words: nonlinear vector network analyzer(NVNA); calibration; harmonic phase reference; Unknown Thru;
Asent Thru: Bind Thru. 8-term error model
求正在不断增加,将日益起到重要作用。由于传统矢量
言
信号分析仪( vector signal analyzer)、实时频谱分析仪(re
al time speetrum analyzer)以及采样示波器( sampling oscil
随着物联网理念的提出,无线通信系统面临诸如探 loscope)分别具有诸如带宽窄、动态范围小、无法提供相
索更高效频谱利用、更宽的调制带宽、更高阶的调制方案位响应及矢量信号修正等不同问题,于是一种针对非线
和更高的载波频率的挑战。通信应用变得更加复杂。为性测量的平台:非线性矢量网络分析仪( nonlinear vector
适应这种发展趋势,精确量无线系统非线性影响的需 network analyzer,NVNA)应运而生。NVNA具有宽带(几
收稿日期:2009-11 Received Date:2009-11
*基金项目:国家自然科学基金(60772078)、教育部博士点基金(20070213026)资助项目