Adaptive calibration of gain and offset errors for time-interleaved ADCs

Time-interleaved (TI) Analog-to-Digital Converters (ADC) are efficient for high-speed data acquisition. However, mismatches among different channels in a TIADC system due to manufacturing process variations cause distortion in the sampled signal and degrade the SNR and SFDR significantly. The offset and gain mismatches are the two important error sources for the TIADC system. In this paper, a methodology based on Least Mean Square (LMS) adaptive algorithm is proposed for simultaneous compensation of the gain and offset mismatches. The proposed method is also adaptive to the slow changes of the mismatches caused by temperature variation and aging effect. Numerical simulations are conducted to validate the adaptive algorithm.