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Overhead-efficient algorithms for acquisition, channel estimation and tracking in MIMO-OFDM systems.

机译:用于MIMO-OFDM系统中的捕获,信道估计和跟踪的高开销算法。

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摘要

Orthogonal Frequency Division Multiplexing (OFDM) has become a leading modulation technique for wideband wireless communications. The logical next step in the evolution of the technology is to boost its bandwidth efficiency by extending it to operate over Multiple-Input Multiple-Output (MIMO) wireless links. The result---MIMO-OFDM---promises a quantum leap in the achievable throughput over wireless media.; The path toward commercially attractive packet-switched MIMO-OFDM systems, however, is not devoid of technical obstacles. For instance, extending conventional techniques of initial channel estimation to MIMO-OFDM is costly in terms of training overhead and spoils much of the throughput gain. Similarly, the increased MIMO receiver complexity results in large processing latencies in hardware implementations, which compromises the bandwidth and stability of conventional tracking algorithms. These kinds of problems motivate the development of entirely new acquisition and tracking techniques, and constitute the main fields of contribution of this dissertation.; The work presented herein proposes a complete set of new algorithms for channel estimation, acquisition and tracking in MIMO-OFDM. The algorithms result from theoretical derivations of optimal parameter estimators in each case. The results provide valuable insight into how transmission overhead shall be allocated and used with maximum efficiency.; For acquisition, the proposed method uses a carefully designed multi-transmitter preamble sequence that allows for joint channel estimation, frequency offset acquisition, and symbol timing estimation at the MIMO-OFDM receiver. The acquisition sequence length is controlled by two competing parameters, which allow for an explicit and fine trade-off between the preamble overhead and the quality of the resulting channel estimates. Compared to the acquisition sequence used in the IEEE 802.11a standard, the proposed technique requires about 8 times shorter training sequences in order to attain acquisition results of similar quality.; The proposed methods for tracking carrier and sampling clock frequency offset are based on maximum likelihood estimation theory applied to observations of received pilot subcarriers at the output of the FFTs of the receiver. Simulation results show that larger MIMO configurations benefit from lower estimator variances, providing increased tracking accuracy at low signal-to-noise ratios, or allowing for a reduction of the number of pilot subcarriers compared to conventional OFDM systems.
机译:正交频分复用(OFDM)已成为宽带无线通信的领先调制技术。该技术发展的逻辑下一步是通过扩展其在多输入多输出(MIMO)无线链路上的运行来提高其带宽效率。结果-MIMO-OFDM-保证了无线媒体上可实现的吞吐量的巨大飞跃。然而,走向具有商业吸引力的分组交换MIMO-OFDM系统的道路并非没有技术障碍。例如,就训练开销而言,将初始信道估计的常规技术扩展到MIMO-OFDM是昂贵的,并且损害了很多吞吐量增益。同样,增加的MIMO接收器复杂度会导致硬件实现中的处理延迟大,这会损害常规跟踪算法的带宽和稳定性。这些问题推动了全新的采集和跟踪技术的发展,并构成了本论文的主要研究领域。本文提出的工作提出了一套完整的新算法,用于MIMO-OFDM中的信道估计,获取和跟踪。该算法是在每种情况下从最佳参数估计量的理论推导得出的。结果为如何最大程度地分配和使用传输开销提供了宝贵的见解。对于捕获,所提出的方法使用精心设计的多发射机前同步码序列,该序列允许在MIMO-OFDM接收机处进行联合信道估计,频率偏移捕获和符号定时估计。采集序列的长度由两个竞争参数控制,这允许在前同步码开销和所得信道估计的质量之间进行明确而精细的权衡。与IEEE 802.11a标准中使用的采集序列相比,所提出的技术需要较短的训练序列约8倍才能获得类似质量的采集结果。所提出的跟踪载波和采样时钟频率偏移的方法是基于最大似然估计理论的,该理论适用于在接收机FFT的输出端观察到的接收导频子载波。仿真结果表明,较大的MIMO配置得益于较低的估计器方差,在低信噪比下提高了跟踪精度,或者与传统OFDM系统相比,可以减少导频子载波的数量。

著录项

  • 作者

    Oberli, Christian.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 138 p.
  • 总页数 138
  • 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

  • 入库时间 2022-08-17 11:43:44

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