Detection in time-varying wireless channels using partial channel state Information

Abstract

Coherent detection requires full Channel State Information (CSI) at the receiver. But if the channel is time-varying, it is difficult to have full CSI at the receiver because of the need to transmit large overheads and the need for frequent channel estimation at the receiver. In this paper we use partial CSI and a simple channel prediction technique to detect data in a time-varying, flat fading channel modeled by a second order Auto Regressive process. The first and second order lag of the process is matched with the Jake’s correlation function. The results obtained are quite close to the performance of full CSI.