An Adaptive Mismatch Error Cancellation Architecture for Time-Interleaved A/D Converters

The Time-Interleaved Analog-to-Digital Converter (TI-ADC) is an efficient approach to systems requiring very high sampling rate with medium to high resolution. However, interchannel mismatches and process variations appear as a main bottleneck leading to substantial degradation in global TI-ADC performance. In this paper, an adaptive compensation technique is proposed for improving the overall performance in the presence of offset mismatch independent from either non-ideality origins or input signal. Proposed method is based on an adaptive Filter that verified through simulating a two-channel TI-ADC architecture. LeastMean-Squares (LMS) algorithm has been exploited as adaptation mechanism so that offset error of each channel is estimated with regard to a preselected reference channel. Proposed method is realized by a minimum hardware complexity. Besides, proposed adaptive TI-ADC is able to track slow drifts in mismatches originated from temperature variations or aging process.