Algorithm for Determining Eye-Diagram Characteristics of Lossy Transmission Lines
Date Issued
2007
Date
2007
Author(s)
Lin, Jeng-Hau
DOI
zh-TW
Abstract
The major theme of this thesis focuses on the methodology for the eye-diagram prediction of lossy transmission lines. The finite conductivity of the metal conductor and the loss due to displacement current and leakage current is the two primary factors to affect the eye diagram at the receiving end of transmission line. After obtaining the two important parameters that decide the impulse response by researching into the mechanism of loss of transmission line, this thesis applies time domain signal processing to develop the methodology to predict the eye diagram fast and accurately.
The thesis proposes the input signal pattern that generates the worst eye diagram at the receiving end when the mismatch effects at both ends aren’t serious, or the loss of transmission line is obvious. Because the transmission line model incorporate with the values of elements derived by the mechanism of loss in frequency domain is non-causal in time domain, the thesis propose an approximate mathematic solution by applying the Kramers-Kronig relations on the problem of causality. By using the two important parameters in the causal impulse response, the thesis develop the methodology of prediction. Finally, the measurement in frequency domain with vector network analyzer and time domain with digital oscilloscope and pattern generator shows the accuracy of this methodology.
Subjects
眼圖
信號處理
輸入信號圖樣
因果律
K-K關係式
eye diagram
signal processing
input signal pattern
causality
Kramers-Kronig relations
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-96-R94942012-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):8cc3016e9ca0175be0f786cfa5fb3ca5