首页> 外文会议>2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing >Subspace-based semiblind channel estimation method for fast fading orthogonally coded MIMO-OFDM systems
【24h】

Subspace-based semiblind channel estimation method for fast fading orthogonally coded MIMO-OFDM systems

机译:快速衰落正交编码MIMO-OFDM系统中基于子空间的半盲信道估计方法

获取原文
获取原文并翻译 | 示例

摘要

In this paper, a new semiblind spectrally efficient channel estimation method is presented for fast fading orthogonally coded multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. The proposed method benefits from both the available training symbols inserted in the data frame structure of wireless standards as LTE and WiMAX and the redundancy introduced in the space-time code to enhance channel estimation quality. Our method offers a closed-form solution and performs channel estimation in the time domain in two consecutive steps. First, the subspace containing the true channel vector is estimated from the extended covariance matrix of the received data in a fully blind fashion, and then, the true channel vector is recovered from the obtained subspace using available training symbols. The parsimonious channel characterization that we use decreases the number of parameters required to be estimated. On the one hand, it results in a performance improvement as compared to the frequency domain channel estimation methods by coherent processing over all subcarriers. On the other hand, the bandwidth efficiency is enhanced by training overhead reduction as compared to the pure training-based approaches. Moreover, the proposed method is able to eliminate all nonscalar ambiguities inherent in blind channel estimation techniques in two practically important cases, the systems involving single-antenna receivers and the systems involving rotatable codes.
机译:针对快速衰落的正交编码多输入多输出正交频分复用(MIMO-OFDM)系统,提出了一种新的半盲频谱高效信道估计方法。所提出的方法既得益于插入到无线标准(如LTE和WiMAX)的数据帧结构中的可用训练符号,又得益于时空码中引入的冗余,以增强信道估计质量。我们的方法提供了一种封闭形式的解决方案,并在两个连续步骤中在时域中执行信道估计。首先,从接收数据的扩展协方差矩阵以完全盲法估计包含真实信道向量的子空间,然后,使用可用的训练符号从获得的子空间中恢复真实信道向量。我们使用的简约信道特征减少了需要估计的参数数量。一方面,与频域信道估计方法相比,通过在所有子载波上进行相干处理,可以提高性能。另一方面,与纯基于训练的方法相比,通过减少训练开销可以提高带宽效率。此外,所提出的方法能够消除在两种实际上很重要的情况下盲信道估计技术固有的所有非标量模糊性,涉及单天线接收器的系统和涉及可旋转码的系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号