An optimization algorithm for timing-error estimation in time-interleaved ADCs

One of the biggest challenges in time interleaved ADCs are its extreme sensitivity to timing-error. For estimation of timing-error, the tricky thing is identification model parameters and computational complexity. A new optimization algorithm aimed at reducing computational complexity of timing-error estimation is proposed in this paper. The proposed algorithm employs the mean square algorithm to estimate the timing-error. The curve fitting algorithm is used to acquire the optimal sampling points and the best length of iterations. Simulation results show that the sampling points and the length of iterations are reduced by 40% and 75% respectively.