Thursday 10 April 2025
A new approach has been developed to tackle a long-standing problem in electronics: correcting mismatch errors in time-interleaved analog-to-digital converters (TI-ADCs). These converters are used in many applications, including high-speed data transmission and signal processing.
Mismatch errors occur when the individual sub-conversion units within a TI-ADC do not behave identically. This can result in distorted or corrupted signals, which can have significant consequences for the overall system performance. Traditionally, correction methods have relied on complex optimization procedures and extensive calibration processes, which can be time-consuming and computationally intensive.
The new approach uses an extended Kalman filter (EKF) to track and correct mismatch errors in real-time. The EKF is a mathematical algorithm that uses a combination of measurement data and prior knowledge to estimate the state of a system. In this case, the state includes the mismatch errors between the sub-conversion units.
The authors have developed an iterative framework for frequency response mismatch correction, which involves two main steps. First, they use the EKF to estimate the mismatch errors based on the input signal and measurement data. Then, they use these estimates to correct the mismatch errors in real-time.
The new approach has several advantages over traditional methods. For example, it does not require extensive calibration or optimization procedures, which can be time-consuming and computationally intensive. Additionally, it can correct mismatch errors in real-time, which is important for many applications that require high-speed data transmission and processing.
The authors have tested their approach using simulations and experimental results, and they found that it significantly improves the performance of TI-ADCs compared to traditional methods. For example, they achieved a reduction in the mean squared error (MSE) of up to 10 times compared to traditional methods.
Overall, the new approach has the potential to revolutionize the field of signal processing and high-speed data transmission. It provides a more efficient and effective way to correct mismatch errors in TI-ADCs, which can have significant consequences for system performance.
Cite this article: “Unlocking High-Speed ADCs: A Novel Hybrid Calibration Approach for Precise Mismatch Error Correction”, The Science Archive, 2025.
Time-Interleaved Analog-To-Digital Converters, Mismatch Errors, Kalman Filter, Real-Time Correction, Signal Processing, High-Speed Data Transmission, Frequency Response Mismatch Correction, Iterative Framework, Mean Squared Error, Electronics.
