Anew weight setting method for estimating ODR of sampling oscilloscope time base jitter

被引：0

作者：

Zhu, Jiangmiao ^{[1
]}

Cheng, Mingfan ^{[1
]}

Zhao, Kejia ^{[2
]}

Chen, Junyu ^{[1
]}

Wang, Yidi ^{[1
]}

机构：

[1] Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

[2] Natl Inst Metrol, Inst Informat & Elect Metrol, Beijing, Peoples R China

来源：

MEASUREMENT | 2025年 / 242卷

关键词：

Sampling oscilloscope; Orthogonal distance regression algorithm; Timebase jitter; Weight; Variance; LEAST-SQUARES; DISTORTION;

D O I：

10.1016/j.measurement.2024.116024

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The orthogonal distance regression algorithm is used to estimate the sampling oscilloscope timebase jitter. Starting from an accurate variance model, a new method to obtain accurate weight is studied. This method can obtain good timebase jitter calculation results when the traditional weight allocation method of the orthogonal distance regression algorithm fails. The proposed approach was validated using sine signals with different sampling frequencies and jitter conditions, and the results showed that the new weight method is effective.

引用

页数：6

共 23 条

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