Semi-Blind Timing Skew Calibration in TIADCs Using Second-Order Taylor Approximation and LMS Algorithm

This paper proposes a technique to calibrate timing mismatches in the digital domain for Time-Interleaved Analog-to-Digital Converters (TIADCs) based on second-order Taylor series approximation for application in high-speed communication and digital signal processing systems. By analyzing the error signal using second-order Taylor series approximation, the proposed technique estimates timing mismatches through the Least Mean Squares (LMS) algorithm to accelerate computation speed and reduce hardware resources. Subsequently, the timing mismatches are corrected based on the second-order Taylor series approximation. The effectiveness of the proposed technique is demonstrated through simulation results in MATLAB software. The simulation results show a significant improvement in the performance of the TIADC. Specifically, the Signal-to-Noise and Distortion Ratio (SNDR) and Spurious-Free Dynamic Range (SFDR) for a 4-channel TIADC are enhanced from 28.29 dB and 33.05 dB to 60.67 dB and 93.66 dB, respectively.