基于记忆多项式的时间交织模数转换器自适应非线性失配校正方法

为了提高时间交织模数转换器(TIADC)的有效分辨率，需要对其通道之间的线性/非线性失配误差进行估计和补偿。该文针对M通道TIADC的带有记忆效应的非线性失配误差提出了一种自适应盲校正算法。通过子通道重构结构(SCR)重构非线性误差信号，并通过滤波降采样最小均方(FDLMS)算法估计非线性失配误差系数。实验仿真结果表明，该方法可以有效校正带有记忆效应的非线性失配误差，并且可以大大降低实现难度和硬件资源消耗。

Adaptive Nonlinear Mismatch Calibration Technique for TIADC Based on Memory Polynomial Model

To improve the effective resolution of the Time-Interleaved Analog-to-Digital Converter (TIADC), it is necessary to estimate and compensate the linear/non-linear mismatch error between its channels. An adaptive blind correction algorithm is proposed for the non-linear mismatch error of M-channel TIADC with memory effect. The nonlinear error signal is reconstructed through the Sub-Channel Reconstruction (SCR) structure, and the nonlinear mismatch error coefficient is estimated through the Filtered-Down-sampled Least Mean Square (FDLMS) algorithm. Experimental simulation results show that this method can effectively correct the non-linear mismatch error with memory effect, and can greatly reduce the difficulty of implementation and the consumption of hardware resources.