شماره ركورد كنفرانس :
1730
عنوان مقاله :
Blind Channel Estimation for OFDM Systems Using All Entries of Covariance Matrix
عنوان به زبان ديگر :
Blind Channel Estimation for OFDM Systems Using All Entries of Covariance Matrix
پديدآورندگان :
Pirsiavash Ali نويسنده , Salari Soheil نويسنده , Ghadrdan S نويسنده
كليدواژه :
Fast Fourier Transform , covariance matrix , cyclic prefix , non-redundant linear precoding , Orthogonal frequency division
عنوان كنفرانس :
بيستمين كنفرانس مهندسي برق ايران
چكيده لاتين :
In this paper we considered a non-redundant linear precoding blind channel estimation method for orthogonal frequency-division multiplexing (OFDM) system and proposedan improved algorithm to achieve better performance. A wide range of blind channel estimation methods are based on thecovariance matrix of received symbols. In practice, the covariance matrix is unknown and must be estimated through time averaging over received OFDM blocks. To this end, theunknown channel must remain time invariant through the averaging process. Therefore the number of averaging steps isfinite and the way of using the covariance matrix components is important in practical applications. In this paper, we propose a new algorithm by an efficient use of covariance matrix components. Simulation results show the proposed method improvement over the other blind estimation methods
شماره مدرك كنفرانس :
4460809