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Multi-Gigabit Reception with Time-interleaved Analog-to-Digital Converters.

机译：具有时间交错的模数转换器的千兆位接收。

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摘要

Moore's law drives the economies of scale in modern communication systems, with most receiver functionalities being implemented in digital signal processing (DSP) after analog to digital conversion. Extending the computational advantage provided by Moore's law to multi-Gigabit communication systems requires analog-to-digital converters (ADCs) with high sampling rate and output resolution.;A promising approach to realize such ADCs at reasonable power consumption is to employ a time- interleaved (TI) architecture with slower (but power-efficient) sub-ADCs in parallel. However, mismatch among the sub-ADCs, if left uncompensated, can cause error floors in receiver performance. Traditionally, mismatch is compensated either by employing larger transistors, by analog adjustments, or by dedicated digital mismatch compensation whose complexity increases with the desired resolution at the output of the TI-ADC. In this thesis, we investigate a novel approach, in which mismatch and channel dispersion are compensated jointly, with the performance metric being overall link reliability rather than ADC performance.;We first characterize the structure of mismatch-induced interference for an OFDM system, and demonstrate the efficacy of a frequency-domain interference suppression scheme whose complexity is independent of constellation size (which determines the desired resolution). Numerical results from computer simulation and from experiments on a hardware prototype show that the performance with the proposed joint mismatch and channel compensation technique is close to that without mismatch.;Next, we explore time-domain mismatch compensation approaches that scale with the number of sub-ADCs and the desired resolution. We show that low-complexity linear mismatch compensation is possible if we employ oversampling. We establish a strong analogy between the role of oversampling for mismatch compensation and for channel equalization, even though the structure of the interference due to mismatch is different from that due to a dispersive channel.;While the proposed compensation architectures work with offline estimates of mismatch parameters, we provide an iterative, online method for joint estimation of mismatch and channel parameters which leverages the training overhead already available in communication signals. We provide a closed form solution for each iteration, for both channel and mismatch estimates, based on a linear approximation for the nonlinear effect of timing mismatch. We investigate the scalability and convergence of this joint estimation algorithm, and derive rules of thumb relating the required length of pseudorandom training to the number of sub-ADCs. Further, we design periodic training sequences with significantly enhanced convergence rates.
机译：摩尔定律推动了现代通信系统的规模经济，其中大多数接收器功能是在模数转换后在数字信号处理（DSP）中实现的。为了将摩尔定律提供的计算优势扩展到数千兆位的通信系统，需要具有高采样率和输出分辨率的模数转换器（ADC）。以合理的功耗实现此类ADC的一种有前途的方法是采用时间-并行（TI）架构，具有较慢（但省电）的子ADC并行。但是，子ADC之间的失配如果未得到补偿，则会导致接收机性能出现底限。传统上，通过采用更大的晶体管，通过模拟调整或通过专用数字失配补偿来补偿失配，其复杂度会随着TI-ADC输出端的所需分辨率而增加。在本文中，我们研究了一种新颖的方法，该方法可以联合补偿失配和信道色散，其性能指标是整体链路可靠性而不是ADC性能。；我们首先对OFDM系统失配引起的干扰进行了表征，并且演示了频域干扰抑制方案的功效，该方案的复杂度与星座图大小（决定所需的分辨率）无关。计算机仿真和硬件原型实验的数值结果表明，所提出的联合失配和信道补偿技术的性能接近于没有失配的性能。接下来，我们探索时域失配补偿方法，其随子数量的增加而缩放-ADC和所需的分辨率。我们表明，如果采用过采样，则低复杂度线性失配补偿是可能的。即使由于失配引起的干扰结构与由于色散信道引起的干扰结构不同，我们仍在过采样对失配补偿和信道均衡的作用之间建立了强有力的类比;虽然建议的补偿架构可与离线失配估计一起工作参数，我们提供了一种用于估计不匹配和信道参数的迭代在线方法，该方法利用了通信信号中已有的训练开销。我们基于对时序失配的非线性影响的线性近似，为通道和失配估计提供了每次迭代的封闭式解决方案。我们研究了这种联合估计算法的可伸缩性和收敛性，并得出了将所需的伪随机训练长度与子ADC数量相关的经验法则。此外，我们设计具有明显提高的收敛速度的周期性训练序列。

著录项

  • 作者

    Ponnuru, Sandeep.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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