Optimal Structure and Length of Training Sequences for Channel Estimation in Spatially Correlated MIMO Channels

PANG Ji-yong; LI Jian-dong; ZHAO Lin-jing

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Optimal Structure and Length of Training Sequences for Channel Estimation in Spatially Correlated MIMO Channels

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- Optimal Structure and Length of Training Sequences for Channel Estimation in Spatially Correlated MIMO Channels
- Acta Electronica Sinica Vol. 35, Issue 6A, Pages: 35-40(2007)
- 作者机构：
  
  西安电子科技大学ISN国家重点实验室, 信息科学研究所, 宽带无线通信实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5
- Published：2007
- 稿件说明：
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PANG Ji-yong, LI Jian-dong, ZHAO Lin-jing. Optimal Structure and Length of Training Sequences for Channel Estimation in Spatially Correlated MIMO Channels[J]. Acta Electronica Sinica, 2007, 35(6A): 35-40.
DOI：

PANG Ji-yong, LI Jian-dong, ZHAO Lin-jing. Optimal Structure and Length of Training Sequences for Channel Estimation in Spatially Correlated MIMO Channels[J]. Acta Electronica Sinica, 2007, 35(6A): 35-40. DOI：

摘要

针对存在空域相关性的多输入多输出(Multiple-Input Multiple-Output

MIMO)信道

首先设计了适用于任何给定长度的最优训练序列

该序列能够充分利用已知的信道相关信息

且具有估计均方误差最小化的特性.在此基础上

分析了相关信道下采用训练估计的数据传输机制所能达到的容量下界

得出了满足估计准确性和数据速率最优折中的最佳训练序列长度.最后

通过仿真验证了本文给出的训练序列的性能和最佳长度取值的有效性.

Abstract

The optimal design of training sequences for Multiple-Input Multiple-Output(MIMO) channel estimation with spatial correlation is considered.Based on the criterion of Minimum Mean Square Error(MMSE)

the optimal training sequences that have controllable length are designed to exploit full information of the spatial correlation.Furthermore

a lower hound on the caparity of a training-based MIMO system is derived

from which the optimal number of training symbols is given.It is investigated that the proposed training sequences have good performance and the capacity lower bound is valid.

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