Bandwidth efficient design and channel estimation over time-varying fading environments

In this paper, we consider bandwidth efficient design and channel estimation over time-varying frequency-selective environments, where the basis expansion model (BEM) is used to describe the time-varying channel. Superimposed training based channel estimation based affine precoding model is designed, where the data interference is eliminated from received data prior to performing channel estimation, while the training sequence is completely out in the symbol detection. Simulations results show that the proposed scheme can yield better detection performance with high bandwidth efficiency.