Adaptive Nonlinearity Estimation of Time Interleaved Analog-to-Digital Converter using Recursive Least Square Technique


Authors : Sedki Younis, Abdulrahman Kh. Alhafid, Omar Mowaffak Alsaydia

Volume/Issue : Volume 4 - 2019, Issue 11 - November

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/37c1pve

The calibration of time interleaved analogto-digital converter (TIADC) through estimation and compensation of the channel mismatches is mandatory task to attain the required resolution of individual converters in TIADC system. This paper considers the problem of nonlinearity mismatch identification of TIADC configuration using adaptive algorithm. The adaptive recursive least square (RLS) algorithm is proposed for the estimation of nonlinearity parameters of TIADC. Simulation results demonstrated the superiority of the RLS technique for fast and accurate background estimation of polynomial nonlinearity model in TIADC system when compared with normalized least mean square (N-LMS) based adaptive estimation. The added computational complexity of the RLS is marginal due to the small-scale of the estimation problem while attaining the fast and precise estimation required for real-time realization.

Keywords : Time Interleaved Analog-To-Digital Converter (TI-ADC), Recursive Least Square (RLS), Filters, Estimation and Compensation.

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