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The application of subspace technologies in wireless communication systems.

机译:子空间技术在无线通信系统中的应用。

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摘要

Multiuser signal detection and estimation are key techniques for overcoming band-width limitations and combating MAI in wireless systems. In many practical situations, it is difficult for the receiver to know the information of any user other than the desired user at mobile stations. On the other hand, there are also considerable discussions about multiuser transmitter design at base stations to simplify the corresponding multiuser receiver design without sacrificing system performance.; Several new joint multiuser DOA/FOA blind estimators based on LS and TLS estimations are presented. These new joint DOA/FOA blind estimators are based on a space-time data model by extending the classic MUSIC and ESPRIT algorithm structure. Several improvement schemes are also proposed.; Concerning MUD, several one-shot semi-blind/blind detectors with LS estimation, TLS estimation and mixed LS and TLS estimation are presented for synchronous and asynchronous wireless communication systems. These detectors are based on a new semi-blind/blind signature matrix and can detect several consecutive bits at the same time using extended multiple truncated-windows and are expected to provide a better performance in asynchronous CDMA systems.; Interference cancellation is a MUD method for suppressing the effects from MAI and consequently improving the system performance. We introduce several soft interference cancellation schemes, including individually and jointly optimum interference cancellation, direct interference cancellation, MAME interference cancellation and MMSE interference cancellation algorithms.; In addition to multiuser receiver design methodologies, the structure and principles of multiuser transmitter design are reviewed in this dissertation. In addition to multiuser precoding using MMSE criterion, optimum multiuser precoding schemes, individually optimum precoding and jointly optimum precoding, and linear multiuser precoding schemes, decorrelating precoder, AML precoder and MAME precoder, are presented to mitigate MAI in synchronous CDMA systems.; Theoretical analysis and computer simulations will be presented to support the performance of the proposed algorithms.
机译:多用户信号检测和估计是克服带宽限制和应对无线系统中MAI的关键技术。在许多实际情况下,接收机很难知道移动台上除了所需用户以外的任何用户的信息。另一方面,在基站上也有关于多用户发射机设计的大量讨论,以简化相应的多用户接收机设计而不牺牲系统性能。提出了几种基于LS和TLS估计的新的多用户DOA / FOA联合盲估计器。通过扩展经典的MUSIC和ESPRIT算法结构,这些新的DOA / FOA联合盲估计器基于时空数据模型。还提出了几种改进方案。关于MUD,针对同步和异步无线通信系统,提出了几种具有LS估计,TLS估计以及混合LS和TLS估计的单次半盲/盲检测器。这些检测器基于新的半盲/盲签名矩阵,可以使用扩展的多个截断窗口同时检测几个连续的位,并有望在异步CDMA系统中提供更好的性能。干扰消除是一种MUD方法,用于抑制MAI的影响并因此提高系统性能。我们介绍了几种软干扰消除方案,包括单独和共同优化干扰消除,直接干扰消除,MAME干扰消除和MMSE干扰消除算法。除了多用户接收机的设计方法外,本文还回顾了多用户发射机的结构和原理。除了使用MMSE准则的多用户预编码之外,还提出了最优多用户预编码方案,单独最优预编码和联合最优预编码以及线性多用户预编码方案,去相关预编码器,AML预编码器和MAME预编码器,以减轻同步CDMA系统中的MAI。理论分析和计算机仿真将被提出来支持所提出算法的性能。

著录项

  • 作者

    Wang, Shu.;

  • 作者单位

    University of Cincinnati.;

  • 授予单位 University of Cincinnati.;
  • 学科 Engineering Electronics and Electrical.; Engineering System Science.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 223 p.
  • 总页数 223
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;系统科学;
  • 关键词

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