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Blind equalization of linear and nonlinear digital communication channels from second order statistics.

机译:根据二阶统计量对线性和非线性数字通信通道进行盲均衡。

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摘要

In digital transmission systems the nonideal channel introduces distortion that must be compensated for to provide reliable communication, a process known as equalization. Recently there has been a great interest in the problem of blind equalization of digital communication channels, in which the equalizer is computed by the receiver without aid from the transmitter. This disposes of the need for sending training signals, leading to higher bandwidth efficiency.; Many real world channels distort signals in a nonlinear fashion. However, most of the literature on blind equalization is devoted to the linear case. This thesis addresses the blind equalization problem for nonlinear single-input multiple-output digital communication channels, based on the second order statistics (SOS) of the received signal. The required channel diversity can be obtained by using several sensors and/or by oversampling the received signal. In the latter case, the overall system can be cast in a multirate framework. We provide the basic elements of a theory of multirate nonlinear systems.; We consider the class of ‘linear in the parameters’ channels, which can be seen as multiple-input systems in which the additional inputs are nonlinear functions of the signal of interest. These models include (but are not limited to) polynomial approximations of nonlinear systems. Although any SOS-based method can only identify the channel to within a mixing matrix (at best), sufficient conditions are given to ensure that the ambiguity is at a level that still allows for the computation of linear finite impulse response equalizers from the received signal SOS, should such equalizers exist. These conditions involve only statistical characteristics of the input signal and the channel nonlinearities and can therefore be checked a priori . Based on these conditions, blind algorithms are developed for the computation of the linear equalizers in the case of independent sources. For correlated sources, a novel algorithm is also given for the linear channel case. The new algorithms compare favorably to previous approaches which do not fully exploit all the information available at the receiver.
机译:在数字传输系统中,非理想信道会引入失真,必须对其进行补偿以提供可靠的通信,这一过程称为“斜体”(“ italicalization”)。近年来,人们对数字通信信道的“斜体” /“斜体” /“斜体”均衡问题产生了极大的兴趣,在该问题中,均衡器是由接收机在没有发射机帮助的情况下计算的。这消除了发送训练信号的需求,从而导致更高的带宽效率。许多现实世界的通道都以非线性方式使信号失真。但是,关于盲均衡的大多数文献都致力于线性情况。本文基于接收信号的二阶统计量(SOS),解决了非线性单输入多输出数字通信信道的盲均衡问题。所需的信道分集可以通过使用多个传感器和/或通过对接收信号进行过采样来获得。在后一种情况下,整个系统可以转换为多速率框架。我们提供了多速率非线性系统理论的基本要素。我们考虑了“参数中的线性”通道的类别,可以将其视为多输入系统,其中附加输入是感兴趣信号的非线性函数。这些模型包括(但不限于)非线性系统的多项式逼近。尽管任何基于SOS的方法只能(最多)识别混合矩阵中的信道,但已给出足够的条件以确保歧义度处于仍允许从接收信号计算线性有限脉冲响应均衡器的水平SOS,如果存在这样的均衡器。这些条件仅涉及输入信号的统计特性和通道非线性,因此可以先验进行检查。基于这些条件,在独立信号源的情况下,开发了用于线性均衡器计算的盲算法。对于相关源,还针对线性信道情况给出了一种新颖的算法。新算法与以前的方法相比具有优势,后者不能完全利用接收器上所有可用的信息。

著录项

  • 作者

    Lopez-Valcarce, Roberto.;

  • 作者单位

    The University of Iowa.;

  • 授予单位 The University of Iowa.;
  • 学科 Engineering Electronics and Electrical.; Mathematics.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;数学;
  • 关键词

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