Time-interleaved system mismatch estimation based on correlation function and particle swarm optimization algorithm.
Yanze Zheng1, Naixin Zhou1, Yijiu Zhao1
1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
The Review of Scientific Instruments
|November 1, 2022
Summary
This study presents a new method to accurately estimate and correct channel mismatches in time-interleaved analog-to-digital converters (TIADCs). The technique improves system performance, enhancing spurious free dynamic range by approximately 20 dB.
Area of Science:
- Electrical Engineering
- Signal Processing
- Analog-to-Digital Conversion
Background:
- Time-interleaved analog-to-digital converters (TIADCs) enhance sampling rates using low-speed ADCs.
- Channel mismatches (gain, time skew, offset) degrade TIADC performance.
- Frequency-varying mismatches in high-speed TIADCs challenge traditional fixed models.
Purpose of the Study:
- To develop a novel method for estimating frequency-varying channel mismatches in TIADCs.
- To improve the accuracy and performance of high-speed TIADC systems.
- To validate the proposed estimation technique on a commercial TIADC system.
Main Methods:
- Utilizing sinusoidal signals to estimate variable mismatches.
- Employing an autocorrelation-based approach for gain mismatch estimation.
- Applying particle swarm optimization for time skew mismatch estimation.
Main Results:
- Accurate estimation of gain and time skew mismatches demonstrated through simulations.
- Significant performance improvement in a commercial 12.5 GSPS TIADC system.
- Spurious free dynamic range enhancement of approximately 20 dB achieved.
Conclusions:
- The proposed method effectively estimates frequency-varying mismatches in TIADCs.
- The technique leads to substantial improvements in TIADC system performance.
- Validated effectiveness on a real-world high-speed TIADC system.
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