Efficient Threshold based non-sample spaced sparse channel estimation in OFDM system

Ces questions sont classiques mais cela fait du bien de lire, sous une forme ramassée, qu’une action qui viole la loi peut être légitime.. Progressons par associations, du légitime

dure de mise sous administration provisoire de son père, mais s’est vu confronté au refus de ce dernier de se laisser examiner par un médecin. Face à l’impossibilité de déposer

The main objective of this thesis is to investigate the performance of channel estimation in UWB systems based on the new Compressed Sensing theory [6]-[7] using a frequency

After start of sequence detection and frequency offset correction, the channel estimation is used for time offset issue in the two proposed schemes.. Their performance

Motivated by the fact that computational complexity is one of the main challenges in such systems, a set of low-complexity Bayesian channel estima- tors, coined Polynomial

The first approach, consists of estimating the channel over all of the three subbands, using the model (3), similar to [5] while the second scheme is a wavelet domain EM

Using the maximum entropy principle to exploit prior system information at the receiver, we successively derive channel estimates in situations when (i) the channel delay spread

Aiming at reducing the estimation error floor encountered by the classical PN- correlation-based estimator, we have proposed three improved estimators which exploit the