Online correction method for AD conversion based on least squares algorithm

Autor: Jia Hongmin, Zhang Liguang, Dan Jianchao
Jazyk: čínština
Rok vydání: 2020
Předmět:
Zdroj: Dianzi Jishu Yingyong, Vol 46, Iss 2, Pp 80-83 (2020)
Druh dokumentu: article
ISSN: 0258-7998
DOI: 10.16157/j.issn.0258-7998.190940
Popis: Aiming at the nonlinear problem between the actual physical values and the converted digital values in AD conversion process, a software online correction method is proposed. This method is based on the least square algorithm to optimize the piecewise linear fitting method. Using VS2010 C# to program, the user can set the error standard, and realize the optimal piecewise linear fitting of the whole nonlinear interval through program calculation, and obtain different fitting functions to achieve the requirement of high precision fitting. This calibration software can be used as an auxiliary development tool in analog acquisition systems to help achieve physical quantity regression. The test results show that the method can significantly improve the accuracy of AD conversion, and is easy to operate with high accuracy.
Databáze: Directory of Open Access Journals