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Real-time self-adaptive calibration method for high speed acquisition system.

Hao Zeng1, Peng Ye1, Wentao Wei1

  • 1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

The Review of Scientific Instruments
|February 3, 2019
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Summary
This summary is machine-generated.

This study introduces a self-adaptive calibration algorithm to correct errors in time-interleaved analog-to-digital converter (ADC) systems. The real-time solution enhances acquisition system performance and dynamic range for complex signal capture.

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Instrumentation

Background:

  • High sampling rates and processing speeds are crucial for capturing complex, transient signals in real-time.
  • Time-interleaved analog-to-digital converters (ADCs) overcome single-ADC speed limitations but suffer from mismatch errors (offset, gain, time).

Purpose of the Study:

  • To develop and implement a self-adaptive correction algorithm for mitigating mismatch errors in time-interleaved ADC systems.
  • To achieve real-time error correction for improved acquisition system performance and dynamic range.

Main Methods:

  • Proposed a novel self-adaptive calibration algorithm to address offset, gain, and time mismatches.
  • Developed real-time solutions for the proposed algorithm.
  • Implemented the calibration method in a digital phosphor oscilloscope for validation.

Main Results:

  • The implemented system demonstrated good real-time performance.
  • Achieved high dynamic performance with an effective number of bits (ENOB) of 7.3 bits.
  • Obtained a signal-to-noise ratio (SNR) of 45.5574 dB.

Conclusions:

  • The proposed self-adaptive calibration method effectively corrects mismatch errors in time-interleaved ADC systems.
  • The real-time implementation enables high dynamic performance suitable for complex signal acquisition.