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Published on: August 3, 2018
Mismatch error correction for time interleaved analog-to-digital converter over a wide frequency range
Zouyi Jiang1, Lei Zhao1, Xingshun Gao1
1State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China.
This study introduces a digital correction method for Time Interleaved Analog-to-Digital Converter (TIADC) channel mismatch errors. The novel approach enhances wide-band signal digitization performance in physics experiments and beyond.
Area of Science:
- Electrical Engineering
- Signal Processing
- Instrumentation
Background:
- High-speed, high-resolution analog-to-digital conversion is critical for waveform digitization in physics experiments and other fields.
- Channel mismatch errors in Time Interleaved Analog-to-Digital Converter (TIADC) systems degrade performance, particularly for wide-band signals.
Purpose of the Study:
- To present a novel, fully digital correction algorithm for TIADC channel mismatch errors.
- To enable correction for wide-band input signals using a single set of filter coefficients.
- To investigate the algorithm's applicability to under-sampling situations and higher Nyquist zones.
Main Methods:
- Development of a fully digital correction algorithm for TIADC channel mismatch.
- Focus on wide-band signal correction, allowing frequency-independent filter coefficients.
- Simulation and experimental validation using two TIADC systems (1.6-Gsps 14-bit and 10-Gsps 8-bit).
Main Results:
- Significant performance improvement in both tested TIADC systems after applying the digital correction.
- Effective number of bits improved to >9.5 bits for the 1.6-Gsps 14-bit TIADC and >5.5 bits for the 10-Gsps 8-bit TIADC within their bandwidth (-3 dB).
- Successful validation of the correction algorithm for input signals in the second Nyquist zone (under-sampling).
Conclusions:
- The proposed fully digital correction method effectively mitigates TIADC channel mismatch errors.
- The technique enhances high-speed, high-resolution waveform digitization across a broad range of frequencies, including under-sampling scenarios.
- This approach offers a robust solution for improving TIADC performance in demanding applications like physics experiments.
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