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Space-time encoding and decoding for MIMO systems and cooperative communication systems.

机译：MIMO系统和协作通信系统的时空编码和解码。

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摘要

Signal space diversity, which achieves reliable communication in fasting Rayleigh fading channel by creating redundancy in signal space, is a power- and bandwidth-efficient diversity technique. However, the complexity of the optimal receiver grows exponentially with the diversity order we designed to achieve. In this work, we concatenate the signal space diversity scheme with a outer convolutional code at the transmitter, at the receiver we use iterative demodulation and decoding. By utilizing the soft output from the outer soft-input soft-output (SISO) decoder, we can do soft interference cancellation. We proposed two kinds of Gaussian approximations to calculate the soft output of the demodulator, one is the vector Gaussian approximation, the other is the scalar Gaussian approximation. The complexity of the vector Gaussian approximation grows cubically with the designed diversity order, while the complexity of the scalar Gaussian approximation grows linear with the designed diversity order. Both of these two method can exploit the signal space diversity very well. We also applied the two Gaussian approximation methods to do iterative demodulation and decoding for the concatenation of convolutional code and lattice-based space-time block codes. Their performances are compared with the linear MMSE method. Also, we analyzed the behavior of the vector Gaussian approximation method by using EXIT chart analysis.; When the convolutional code is concatenated with a modulator and a bit-interleaver is used in between, the mapping from bit sequences to the constellations affects the performance of the receiver very much. By a carefully designed mapping, we can achieve performance gain without adding additional complexity to the receiver or consuming any other resources. In our work, we considered the mapping from bit sequences to the space-time matrices. The mapping criterions are derived for the demodulator with perfect a priori and no a priori information. Optimized mappings are searched for some unitary space-time modulations schemes and non-coherent space-time modulation schemes.; Spatial diversity is more and more widely used today. However, to have spatial diversity, multiple antennas should be equipped at the transmitter and/or the receiver. This would increase the cost and the size of the transceiver in the mobile station. (Abstract shortened by UMI.)
机译：信号空间分集是一种功率效率和带宽效率高的分集技术，通过在信号空间中创建冗余来实现快速瑞利衰落信道中的可靠通信。但是，最佳接收器的复杂度随着我们设计要实现的分集阶数呈指数增长。在这项工作中，我们在发射机处将信号空间分集方案与外部卷积码连接起来，在接收机处我们使用迭代解调和解码。通过利用外部软输入软输出（SISO）解码器的软输出，我们可以进行软干扰消除。我们提出了两种高斯逼近来计算解调器的软输出，一种是矢量高斯逼近，另一种是标量高斯逼近。向量高斯近似的复杂度按设计的分集阶次呈三次方增长，而标量高斯近似的复杂度按设计的分集阶次呈线性增长。这两种方法都可以很好地利用信号空间分集。我们还应用了两种高斯近似方法对卷积码和基于格的时空分组码的级联进行迭代解调和解码。将其性能与线性MMSE方法进行比较。此外，我们还使用EXIT图表分析来分析矢量高斯逼近方法的行为。当卷积码与调制器串联在一起，并且在两者之间使用位交织器时，从位序列到星座的映射会极大地影响接收机的性能。通过精心设计的映射，我们可以在不增加接收机复杂性或不消耗任何其他资源的情况下获得性能提升。在我们的工作中，我们考虑了从位序列到时空矩阵的映射。对于具有完美先验且没有先验信息的解调器，得出映射标准。搜索优化的映射以寻找一些单一的时空调制方案和非相干的时空调制方案。如今，空间多样性越来越广泛地被使用。但是，为了具有空间分集，应该在发射机和/或接收机处配备多个天线。这将增加移动台中收发信机的成本和尺寸。 （摘要由UMI缩短。）

著录项

  • 作者

    Li, Yabo.;

  • 作者单位

    University of Delaware.;

  • 授予单位 University of Delaware.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 155 p.
  • 总页数 155
  • 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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