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  • 标题:New Space Time coding for Joint Blind Channel Estimation and Data Detection through Time Varying MIMO Channels
  • 本地全文:下载
  • 作者:Abdelkader. Tami ; Mokhtar. Keche ; Abdelaziz .Ouamri
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2014
  • 卷号:11
  • 期号:5
  • 出版社:IJCSI Press
  • 摘要:Channel estimation based on a training sequence limits spectral efficiency. In this paper a new Orthogonal Space-Time Block Coder (OSTBC) is proposed for estimating an unknown Multiple Input Multiple Output (MIMO) channel without the need of a training sequence. Also, the orthogonal propriety of this code is taken into account to reduce the complexity of the maximum likelihood detector (MLD). Since the Steady State Kalman filter (SS-KF) has a lower complexity and nearly the same performance, compared to the standard Kalman Filter (KF), it is used to track the MIMO channel variations. The performance of the proposed coder is evaluated by means of Monte Carlo simulations and compared to that of optimal detection and some other coders proposed in the literature.
  • 关键词:MIMO systems; Orthogonal Space;Time Block Codes; Steady State Kalman Filter; Maximum Likelihood Detector.
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