Performance Analysis of Differential BLM detector in AF Relay Networks with Time Varying Channels

In this paper, we investigate the performance of differential Bayesian linear model (BLM) detector in AF relay networks with time varying channels. A first order autoregressive (AR) model is utilized to characterize the time varying nature of channels. We assume that channel state information (CSI) is available at the receiver. We consider that the original transmitted signal is corrupted by noise and other interference signals during transmission due to the nature of wireless channels and multipath fading effects. In this paper, differential BLM detector is proposed in multiple relays network with time varying channels in order to enhance the receiver detection performance. Analytical and simulation evaluations on receiver operating characteristics (ROCs), bit error rate (BER), capacity and outage probability of the system are presented. Comparative results have shown that the time varying channels affect the system performance compared to static channels. The proposed detection method can be effective and resistant on the channel variation, can provide minimum bit error rate, minimum outage probability and higher channel capacity when the number of relays increases.