协同MIMO中的盲信道跟踪

2007 International Symposium on Intelligent Signal Processing and Communication Systems Pub Date : 2007-11-01 DOI:10.1109/ISPACS.2007.4445948

Zhen-ya Yan, B. Zheng, Jingwu Cui

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引用次数: 0

摘要

将时序拟蒙特卡罗(SQMC)算法应用于协同多输入多输出(MIMO)系统的盲信道跟踪中，该算法不需要发送训练码，可以节省功率和无线带宽。此外，还提出了一种利用当前接收信号的改进版SQMC算法。仿真结果表明，SQMC方法比序贯蒙特卡罗(SMC)方法具有更好的性能，并且引入电流接收信号明显提高了SQMC方法的性能。

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Blind channel tracking in cooperative MIMO

Application of sequential quasi Monte Carlo (SQMC) to blind channel tracking in cooperative Multiple-input multiple-output (MIMO) system is proposed in this paper, which doesn't need to transmit training symbol and can save power and wireless bandwidth. Additionally, an improved version of SQMC algorithm by taking advantage of current received signal is proposed. As will be shown through simulations, SQMC method reaches better performance than Sequential Monte Carlo (SMC) methods, and incorporation of current received signal improves performance of SQMC obviously.

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2007 International Symposium on Intelligent Signal Processing and Communication Systems

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