Abstract
In this paper, we examine the channel estimation problem for one-way relay network(OWRN) under time-selective fading channel scenario. Our aim is to estimate the individual channels of each relay hop at the destination with unknown data from source. We utilize the relay's aided estimation function through superimposing pilots at relay, adopt the autoregressive (AR) model to characterize the time-varying individual channels, and construct the nonlinear dynamic state space for the individual channels. Furthermore, one low-complex data-decision directed UKF is designed to implement online time-varying individual channel tracking. Finally, simulation results will be provided to corroborate our proposed studies.
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