Data detection for cooperative vehicular communication systems with unknown channels

In this paper, data detection for an OFDM-based amplify-and-forward (AF) cooperative vehicular communication system with multiple relays is investigated. Unlike the conventional OFDM AF cooperative systems, the underlying channels experience fast time-variation due to high mobility of the source and destination. To enable data detection, the system model is first reformulated using the generalized complex exponential basis expansion model (GCE-BEM). Then a channel estimator is developed using the Tikhonov regularization method and a data detection method is proposed based on the linear minimum mean square error (LMMSE) criterion. The effectiveness of the proposed data detection algorithm is finally corroborated by computer simulations. ©2010 IEEE.link_to_subscribed_fulltex