Channel estimation strategy for LPWA transmission at low SNR: application to Turbo-FSK

(11) In summary, the channel depends on the 7P physical param- eters φ given in (3), but the considered model depends on only 7p parameters whose optimal values make up the

G ENERALIZED SLIDING WINDOW TD-LMMSE The sliding window time domain LMMSE channel estima- tor is based upon estimating the channel impulse response at the receiver by gathering a

Re- cent research in [13], [19] has shown analytically (for a single- carrier single path Rayleigh channel with Jakes’s Doppler Spectrum scenario) that the Asymptotic Mean Squared

Training sequence methods base the parameter estimation on the received signal containing known symbols only and all the other observations, contain- ing (some) unknown symbols,

We take a Gilbert-Elliot (GE) model to capture the error characteristics of a fading channel and we provide an analytical study of the performance of FEC for multicast

Caire, “Coded Modulation in the Block- Fading Channel: Coding Theorems and Explicit Constructions,” submit- ted to

In addition, we investigate the exponential behaviour of (MSE 1 , MSE 2 ) by characterizing an upper bound to the region of achievable pairs of MSE exponents for any joint

In fact, the measured number of (DoF) based on (AIC) is computed from the total channel impulse response obtained by IFFT while in the other case we focus on the time limited