Power Allocation for Superimposed Training Channel Estimation for IDMA Systems
Jianhao Hu · Signal Processing · 2009
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.