Training-based MIMO channel estimation: A study of estimator tradeoffs and optimal training signals

被引：690
|
作者：
Biguesh, M [1 ]
Gershman, AB
机构：
[1] Shiraz Univ, Dept Elect & Elect Engn, Shiraz, Iran
[2] McMaster Univ, Hamilton, ON, Canada
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2006年 / 54卷 / 03期
基金：
加拿大自然科学与工程研究理事会;
关键词：
multiple-input multiple-output (MIMO) channel estimation; optimal training signals;
D O I：
10.1109/TSP.2005.863008
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we study the performance of multipleinput multiple-output channel estimation methods using training sequences. We consider the popular linear least squares (LS) and minimum mean-square-error (MMSE) approaches and propose new scaled LS (SLS) and relaxed MMSE techniques which require less knowledge of the channel second-order statistics and/or have better performance than the conventional LS and MMSE channel estimators. The optimal choice of training signals is investigated for the aforementioned techniques. In the case of multiple LS channel estimates, the best linear unbiased estimation (BLUE) scheme for their linear combining is developed and studied.
引用
收藏
页码：884 / 893
页数：10
相关论文
共 50 条
  • [1] TRAINING-BASED BAYESIAN MIMO CHANNEL AND CHANNEL NORM ESTIMATION
    Bjornson, Emil
    Ottersten, Bjorn
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 2701 - 2704
  • [2] MIMO channel estimation: Optimal training and tradeoffs between estimation techniques
    Biguesh, M
    Gershman, AB
    2004 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-7, 2004, : 2658 - 2662
  • [3] Optimal training signals for MIMO OFDM channel estimation
    Minn, H
    Al-Dhahir, N
    GLOBECOM '04: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6, 2004, : 219 - 224
  • [4] Optimal training signals for MIMO OFDM channel estimation
    Minn, Hlaing
    Al-Dhahir, Naofal
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2006, 5 (05) : 1158 - 1168
  • [5] Training-based MIMO channel Rice factor estimation algorithms
    Nooralizadeh, Hamid
    Shirvani Moghaddam, Shahriar
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 1441 - +
  • [6] Subspace system identification for training-based MIMO channel estimation
    Zhang, CJ
    Bitmead, RR
    AUTOMATICA, 2005, 41 (09) : 1623 - 1632
  • [7] Superimposed Training-Based Channel Estimation for MIMO Relay Networks
    Xu, Xiaoyan
    Wu, Jianjun
    Ren, Shubo
    Song, Lingyang
    Xiang, Haige
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2012, 2012
  • [8] Training-Based Joint Timing and Channel Estimation for UWB Signals
    Liu, Tao
    Zhu, Shihua
    68TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, FALL 2008, 2008, : 1939 - 1943
  • [9] On the performance of optimal training-based OFDM with channel estimation error
    Ahmed, KI
    Tepedelenlioglu, C
    Spanias, A
    GLOBECOM '04: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6, 2004, : 2404 - 2408
  • [10] Investigations into training-based MIMO channel estimation for spatial correlated channels
    Liu, Xia
    Bialkowski, Marek
    Lu, Shiyang
    2007 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, VOLS 1-12, 2007, : 205 - 208
12345