IDMA系统中基于序列叠加信道估计的功率分配方法

Power Allocation for Superimposed Training Channel Estimation for IDMA Systems

本文在序列叠加信道估计研究的基础上,以交织多址接入系统为模型,利用导频训练序列与信息序列不相关的特性在接收端估计出信道状态信息,并采用最大化有效信噪比的方法给出了训练序列与信息序列的最优功率分配策略。此外,本文讨论了不同统计特性的训练序列对信道估计性能的影响以及估计误差对信道容量的影响,通过仿真研究验证了相关的理论分析,并说明了本文功率分配算法较其它分配策略更有利于提高系统性能。

The superimposed training channel estimation for IDMA systems is proposed in this paper. The channel state information （CSI） can be obtained at the receiver by exploiting the uncorrelation between the training and the information sequences. Furthermore, we present the optimal power allocation strategy by maximizing the effective signal-to-noise ratio. In addition, the effect of the training sequences with different statistic properties on MSE of channel estimation and channel capacity is discussed. The simulation results verify the associated theoretical analysis and also show that the proposed method for power allocation can improve the system performance better than other allocation strategies.