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

刘素娟; 张仲侯

doi:10.11999/JEIT200885

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

doi: 10.11999/JEIT200885

刘素娟^,,
张仲侯

北京工业大学微电子学院北京 100124

基金项目: 国家自然科学基金(62074010)，北京市教委科技项目(KM201810005022)

详细信息

作者简介:
刘素娟：女，1978年生，副教授，研究方向为模数混合集成电路设计

张仲侯：男，1995年生，硕士生，研究方向为模数混合集成电路设计

通讯作者:
刘素娟　liusujuan@bjut.edu.cn

中图分类号: TN911.72
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出版历程
- 收稿日期: 2020-10-16
- 修回日期: 2021-06-07
- 网络出版日期: 2021-07-15
- 刊出日期: 2021-12-21

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

Sujuan LIU^,,
Zhonghou ZHANG

College of Microelectronics, Beijing University of Technology, Beijing 100124, China

Funds: The National Natural Science Foundation of China (62074010), The Scientific Research Project of Beijing Educational Committee (KM201810005022)

摘要

摘要: 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。
- 时间交织模数转换器 /
- 非线性失配误差 /
- 子通道重构结构 /
- 自适应盲校正
Abstract: 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.
- Time-Interleaved Analog-to-Digital Converter (TIADC) /
- Nonlinear mismatch error /
- Sub-Channel Reconstruction (SCR) /
- Adaptive blind calibration

HTML全文

图 1 TIADC结构示意图

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图 2 带有记忆效应的非线性失配误差的子ADC的离散模型

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图 3 带有记忆效应的非线性失配误差的TIADC的离散模型

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图 4 M通道TIADC带有记忆效应的非线性误差校正原理结构图

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图 5 含有2阶非线性误差的四通道TIADC输入无关频带示意图^[7]

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图 6 基于FDLMS算法的M通道自适应盲校正算法结构示意图

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图 7 多频点输入信号校正效果示意图

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图 8 多频点输入信号情况下误差收敛曲线

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图 9 低通白噪声输入信号校正效果示意图

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图 10 低通白噪声输入信号情况下误差收敛曲线

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图 11 计算复杂度对比

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表 1 计算复杂度的对比

	本文	文献[16]	文献[17]
误差类型	带有记忆效应	静态	静态
通道数M	M=1, 2, ···	M=1, 2, ···	M=1, 2, 4, 8, ···
乘法器/每次采样	2(P–1)Q+N_f/2+1	(2M+1)(P–1)+N_f/2+1	(M+1)(P–1)+N_f/2+1
调制器/每次采样	0	(2M+1)(P–1)	(M+1)(P–1)
M：TIADC通道数；P：非线性误差最高阶；Q：记忆长度；N_f：高通FIR滤波器阶数

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参考文献(21)

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