Method for calibrating two-port vector network analyzer based on ten-error model

A vector network analysis and error model technology, applied in the field of vector network analyzer calibration, can solve the problems of increasing the processing difficulty and testing cost of calibration parts, no 8-item error model self-calibration algorithm, and cumbersome calibration process.

Inactive Publication Date: 2011-12-14
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF6 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Short-Open-Load-Thru (SOLT) algorithm is the most common one. However, this type of algorithm requires that all the characteristics of the calibration parts are known and do not change with time, which increases the processing time of the calibration parts. Difficulty and cost of testing
Although the 10-item error model is more accurate than the 8-item error model[3][4], the selection of calibration parts is relatively strict, the calibration process is often cumbersome, and there is no self-calibration algorithm similar to the 8-item error model[5][6] ]

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for calibrating two-port vector network analyzer based on ten-error model
  • Method for calibrating two-port vector network analyzer based on ten-error model
  • Method for calibrating two-port vector network analyzer based on ten-error model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:

[0054] 1) Establish an error model: When the excitation ports are different, the error model can be divided into a forward error model and a backward error model. The forward error model includes a directional error E on the excitation port D1 , source mismatch error E S1 and backtracking error E R1 , the load port contains the load mismatch error E L1 and transmission tracking error E T1 , where the subscript 1 represents a port excitation, that is, forward excitation. Similarly, the excitation port in the backward model contains the directional error E D2 , source mismatch error E S2 and backtracking error E R2 , the load port contains the load mismatch error E L2 and transmission tracking error E T2 .

[0055] 2) Measure short-circuit Short, open-circuit Open, straight-through Thru, and unknown-length 50-ohm transmission line Unknown Line calibration ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for calibrating a two-port vector network analyzer based on a ten-error model, belonging to a method for calibrating a vector network analyzer. The method comprises the following steps of: selecting an error model according to the hardware topological structure of the vector network analyzer; preparing a 50-ohm short-open-thru (SOT) transmission line calibration piece of which the characteristic is known and the length is unknown for serving as a device under test (UDT), and evaluating the transmission characteristic of a UL (Unknown Line) according to the scattering parameter measured value of an SOT-UL standard piece and the scattering parameter measured value of an SOT standard piece; evaluating the normalized wave ratio of a DUT incident port during the measurement of an SO (Short-Open) standard piece according to the scattering parameter measured value and real value of the SOT-UL standard piece; and when an unknown DUT is connected, evaluating the real value of a DUT scattering parameter according to the measured value and real value of the standard piece scattering parameter and the DUT scattering parameter measured value. By adopting the method, the testing cost is lowered, and the calibration process is simplified greatly.

Description

technical field [0001] The invention relates to a calibration method for a two-port vector network analyzer based on a 10-item error model, which belongs to the calibration method for vector network analyzers. Background technique [0002] As we all know, calibration is an essential link in the test and measurement process, and the vector network analyzer (VNA), as a precision microwave measurement instrument, requires a special calibration algorithm. [0003] In the design and debugging process of radio frequency circuits, vector network analyzers are usually used to accurately measure network parameters. Vector network analyzer is the most widely used measuring instrument in microwave / RF research and development, and calibration is one of the key technologies in vector network analyzer [1]. Since any measurement device cannot be ideal, especially network analyzers usually work in the frequency range of tens of MHz to tens of GHz, it is impossible for the measurement devic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01R35/00
Inventor 赵伟赵永久刘冰袁春花
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products