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Optimum binary signature set design and short-data-record adaptive receivers for CDMA communications.

机译：用于CDMA通信的最佳二进制签名集设计和短数据记录自适应接收器。

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摘要

The objective of this work is the solid, complete development of a theoretical framework and practical technology for transmitter and receiver designs for wireless CDMA networks. Special emphasis is given to the problems of optimum and adaptive spreading code design as well as to the problem of adaptive receiver design whenever high-dimensional adaptive linear processing with short data records is desired. The research work herein is divided into two parts. The first part deals with the development of new lower bounds on the total-squared-correlation (TSC) of binary DS-CDMA signature sets for any number of users and any processing gain as well as with the design of binary spreading code sets that achieve the new bounds (minimum-TSC optimum sets). The new bounds that we derive are tighter than the well-known Welch bound obtained in 1974; the design of binary minimum-TSC sets had been an open research problem since that year. In the second part of this work we pursue the development of blind (non-supervised) low-complexity short-data-record adaptive receivers that may keep up with the fluctuation rates of common multipath fading channels. We concentrate particularly on linear filter receivers and based on statistical conditional optimization criteria we develop and study an iterative algorithm that generates a sequence of estimates of the minimum-mean-squared-error (MMSE) filter. We investigate the statistical properties and the short-data-record performance of the proposed estimators and show that the early, non-asymptotic, elements offer favorable bias/variance balance and significantly lower mean-square filter estimation error in comparison with other current filter estimation means.
机译：这项工作的目标是为无线CDMA网络的发射器和接收器设计扎实，完整地发展理论框架和实用技术。每当需要短数据记录的高维自适应线性处理时，就特别强调最佳和自适应扩频码设计问题以及自适应接收机设计问题。本文的研究工作分为两个部分。第一部分探讨了针对任意数量的用户和任何处理增益的二进制DS-CDMA签名集的总平方相关（TSC）的新下限的发展，以及实现以下目标的二进制扩展码集的设计新界限（最小TSC最佳集合）。我们得出的新界限比1974年获得的著名的韦尔奇界限更严格；自那年以来，二进制最小TSC集的设计一直是一个开放的研究问题。在这项工作的第二部分中，我们追求开发盲（非监督）低复杂度短数据记录自适应接收机，该接收机可能会跟上常见的多径衰落信道的波动率。我们特别专注于线性滤波器接收器，并且基于统计条件优化标准，我们开发并研究了一种迭代算法，该算法生成一系列最小均方误差（MMSE）滤波器的估计值。我们调查了拟议估计量的统计特性和短数据记录性能，并表明与其他当前滤波器估计相比，早期的非渐近元素提供了有利的偏差/方差平衡，并且均方差滤波器估计误差显着降低手段。

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  • 作者

    Karystinos, George N.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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