一种有效的无线Mimo信道估计全局优化算法

2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Pub Date : 2007-12-01 DOI:10.1109/CAMSAP.2007.4498006

H. Tuan, H. Nguyen, N. N. Tran, V. Nguyen

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引用次数: 4

摘要

研究了空间相关衰落多输入多输出(MIMO)信道估计问题。基于信道二阶统计量，提出了一种适用于叠加训练信号的最小均方误差信道估计器。然后用迭代全局优化算法求解最优叠加信号的设计问题。仿真结果表明，与传统的时复用训练设计相比，我们对叠加训练信号的优化设计显著降低了信道估计误差。

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An Effective Global Optimization Algorithm for Wireless Mimo Channel Estimation

The problem of channel estimation for spatially correlated fading multiple-input multiple-output (MIMO) channels is considered. Based on the channel's second order statistic, the minimum mean-square error (MMSE) channel estimator that works with the superimposed training signal is proposed. The problem of designing the optimal superimposed signal is then addressed and solved with an iterative global optimization algorithm. Simulation results show that our optimal design of the superimposed training signal leads to a significant reduction in channel estimation error when compared to the conventional design of time-multiplexing training.

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来源期刊

2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

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