Training-based channel estimation and equalization for space-time block-coded systems over frequency-selective fading channels
Training-based channel estimation and equalization for space-time block-coded systems over frequency-selective fading channels
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DOI：
10.1109/vetecf.2004.1400335
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发表时间：
2004-09
期刊：
影响因子：
--
通讯作者：
K. Ahn;H. Baik
中科院分区：
文献类型：
--
作者：
K. Ahn;H. Baik
研究了空时分组编码传输系统的信道估计问题。通过假设信道频率响应是准静态的，我们开发了基于空时分组码（STBC）训练块的信道估计。导出了训练序列设计的最优性准则，并讨论了与训练长度的选择相关的设计权衡。在传统单天线系统的最大对数最大后验概率（MAP）算法的基础上，提出了一种新的Alamanti方案的均衡和检测算法。迫零（ZF）和最小均方误差（MMSE）均衡的次优检测算法。数值结果表明，所提出的空时分组码传输系统的信道估计和均衡算法的性能。
Channel estimation for a space-time block coded transmission system is considered. By assuming that the channel frequency response is quasi-static, we develop channel estimation based on the use of a space-time block coded (STBC) training block. The optimality criterion for training sequence design is derived and the design tradeoffs associated with the choice of training length are discussed. A novel equalization and detection algorithm for the Alamouti scheme is developed, which is derived from the max-log maximum a posteriori (MAP) algorithm for conventional single-antenna systems. Zero-forcing (ZF) and minimum mean square error (MMSE) equalization are derived for the suboptimal detection algorithm. Numerical results are provided to demonstrate the performance of the proposed channel estimation and equalization algorithm for space-time block coded transmission systems.