TY - GEN
T1 - Joint dynamic delay and channel gain estimation BCRB for wireless communications
AU - Nasr, Imen
AU - Arbi, Tarak
AU - Geller, Benoit
AU - Atallah, Leila Najjar
AU - Cherif, Sofiane
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/12
Y1 - 2020/10/12
N2 - In this paper, we derive the analytical expression of the Bayesian Cramer-Rao Bound (BCRB) for the joint estimation of random time delay and channel gains. The BCRB is evaluated for the Rayleigh fading channel for both Data-Aided (DA) and Non-Data-Aided (NDA) processing modes. Simulation results make a comparison, over various channels, between several synchronization modes. In particular, we show that a better performance can be achieved by using DA and off-line estimation techniques, where all the received signal samples are used at any time of the estimation process.
AB - In this paper, we derive the analytical expression of the Bayesian Cramer-Rao Bound (BCRB) for the joint estimation of random time delay and channel gains. The BCRB is evaluated for the Rayleigh fading channel for both Data-Aided (DA) and Non-Data-Aided (NDA) processing modes. Simulation results make a comparison, over various channels, between several synchronization modes. In particular, we show that a better performance can be achieved by using DA and off-line estimation techniques, where all the received signal samples are used at any time of the estimation process.
KW - Bayesian Cramer-Rao Bound
KW - Channel Estimation
KW - Time delay recovery
U2 - 10.1109/WiMob50308.2020.9253427
DO - 10.1109/WiMob50308.2020.9253427
M3 - Conference contribution
AN - SCOPUS:85097270688
T3 - International Conference on Wireless and Mobile Computing, Networking and Communications
BT - 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020
PB - IEEE Computer Society
T2 - 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020
Y2 - 12 October 2020 through 14 October 2020
ER -