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Time jitter generation and injection algorithms for high-speed applications.

Tong Wu1, Kezhu Song1, Hongwei Zhao1

  • 1Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China.

The Review of Scientific Instruments
|June 1, 2022
PubMed
Summary
This summary is machine-generated.

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This study introduces a new software algorithm for modeling and injecting various types of time jitter into high-speed communication signals. The method accurately simulates bounded uncorrelated jitter, crucial for system performance analysis.

Area of Science:

  • Electrical Engineering
  • Communications Engineering
  • Signal Processing

Background:

  • High-speed communication systems require precise performance evaluation through time jitter analysis.
  • Accurate jitter analysis is critical for the success of high-speed digital designs with fast edge speeds and small data windows.
  • Current methods for jitter analysis often rely on receiver-based extraction, necessitating verification through transmitter-side injection.

Purpose of the Study:

  • To develop a novel software algorithm for modeling and injecting various types of jitter into test signals.
  • To address limitations in existing commercial software, particularly the inability to inject bounded uncorrelated jitter.
  • To provide a versatile tool for verifying jitter extraction accuracy at the receiver in high-speed communication systems.

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Main Methods:

  • A software-based algorithm implemented in MATLAB for jitter modeling and injection.
  • Development of transmitter test signal modeling capabilities.
  • Implementation of algorithms for generating and injecting diverse jitter types, including bounded uncorrelated jitter.
  • Focus on creating a method suitable for integration into real-time oscilloscopes.

Main Results:

  • Successful modeling and injection of various jitter types, including bounded uncorrelated jitter, into pure signals.
  • Demonstration of the algorithm's capability to overcome limitations of existing commercial jitter generation software.
  • Validation of the proposed method's potential for accurate jitter simulation in communication links.

Conclusions:

  • The proposed MATLAB-based algorithm offers a flexible and accurate solution for jitter modeling and injection.
  • This approach enhances the verification of jitter extraction techniques in high-speed communication systems.
  • The algorithm's ability to inject bounded uncorrelated jitter provides a significant advancement for system design and testing.