An UKF-based channel-tracking scheme with relay-superimposed pilots for one-way relay networks

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.