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A spatial correlation analysis and adaptive estimation techniques for MIMO-OFDM systems.

机译：MIMO-OFDM系统的空间相关性分析和自适应估计技术。

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摘要

In this study, the performance of multiple input multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems is analyzed with the existence of spatial correlation and the exploitation of adaptive techniques. For the spatial correlation analysis, the effect of a three-dimensional (3-D) scattering environment and the effect of mutual coupling are studied for different antenna types. A new channel model based on the 3-D scattering environment is developed for this purpose. By then using the MIMO capacity, the performance of the system is analyzed. It is observed that environment richness is the key factor for obtaining uncorrelated signals, and that the effect of mutual coupling decreases the capacity for most of the antenna distances. Then, based on the spatial correlation analysis, different adaptation techniques are investigated. Antenna selection algorithm aiming to pick antennas giving the maximum capacity, angle spread estimation for the determination of environment richness, and linear minimum mean-square error (LMMSE) channel estimation using the spatial correlation are investigated. It is observed that these adaptive techniques give accurate results that they can improve the system performance. The LMMSE channel estimation is then further investigated to make it adaptive and less complex so that it can be realized in practical systems. For this purpose, a low-rank LMMSE channel estimation is introduced by using comb type pilots. Moreover, the unification of LMMSE with other channel estimation methods such as transform domain and least squares (LS) estimates is also studied. The study concludes that for future high data rate oriented MIMO-OFDM systems, the effect of spatial correlation needs to be taken into account and the adaptive techniques proposed in this study can enable better performing systems.
机译：在这项研究中，利用空间相关性的存在和对自适应技术的利用，分析了多输入多输出（MIMO）-正交频分复用（OFDM）系统的性能。为了进行空间相关性分析，研究了不同天线类型的三维（3-D）散射环境的影响和互耦合的影响。为此，开发了一种基于3-D散射环境的新通道模型。然后，通过使用MIMO容量，分析系统的性能。可以看出，环境丰富度是获得不相关信号的关键因素，并且互耦效应会降低大多数天线距离的容量。然后，基于空间相关性分析，研究了不同的适应技术。研究了旨在选择具有最大容量的天线，确定环境丰富度的角度扩展估计以及使用空间相关性的线性最小均方误差（LMMSE）信道估计的天线选择算法。可以观察到，这些自适应技术给出的准确结果表明它们可以改善系统性能。然后，将进一步研究LMMSE信道估计，以使其具有自适应性且不那么复杂，从而可以在实际系统中实现。为此，通过使用梳型导频来引入低秩LMMSE信道估计。此外，还研究了LMMSE与其他信道估计方法（例如变换域和最小二乘（LS）估计）的统一。研究得出的结论是，对于未来面向高数据速率的MIMO-OFDM系统，需要考虑空间相关性的影响，并且本研究中提出的自适应技术可以使系统性能更好。

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  • 作者

    Ozdemir, Mehmet Kemal.;

  • 作者单位

    Syracuse University.;

  • 授予单位 Syracuse University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2005
  • 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;
  • 关键词

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