Joint dynamic delay and channel gain estimation BCRB for wireless communications

Imen Nasr (1, 2) , Tarak Arbi (1) , Benoît Geller (1) , Leïla Najjar Atallah (2) , Sofiane Cherif (2)

1 ENSTA Paris - École Nationale Supérieure de Techniques Avancées
2 SUP'COM [TUNIS] - Ecole supérieure des communications de Tunis

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.

Mots clés: Time delay recovery; Channel Estimation; Bayesian Cramer-Rao Bound

Domaines: Réseaux et télécommunications [cs.NI]; Informatique [cs]; Sciences de l'ingénieur [physics]

Imen Nasr, Tarak Arbi, Benoît Geller, Leïla Najjar Atallah, Sofiane Cherif. Joint dynamic delay and channel gain estimation BCRB for wireless communications. WIMOB, International Conference on Wireless and Mobile Computing, Networking and Communications, IEEE, Oct 2020, Thessaloniki, Greece. ⟨10.1109/WiMob50308.2020.9253427⟩. ⟨hal-03183658⟩