Buyuksar, Ayse BetulŞenol, HabibErküçük, SerhatCirpan, Hakan Ali2019-06-272019-06-272016197815090-206142154-02172154-0217https://hdl.handle.net/20.500.12469/529https://doi.org/10.1109/ISWCS.2016.7600941In order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a Posteriori (SAGE-MAP) based channel estimation algorithm is proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems for Autoregressive (AR) modeled time-varying sparse channels. Also an initialization algorithm has been developed from the widely used sparse approximation algorithm Orthogonal Matching Pursuit (OMP) since the performance of SAGE algorithm strictly depends on initialization. The results show that multipath delay positions can be tracked successfully for every time instant using the proposed SAGE-MAP based approach.eninfo:eu-repo/semantics/closedAccessOFDMAutoregressive ModelFast Time-VaryingSage-MapOMPSparse Channel EstimationConference Object424428WOS:00038665400007810.1109/ISWCS.2016.76009412-s2.0-84994355371N/AN/A