Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/WiMob50308.2020.9253427 | 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) |
Keywords | DocType | ISSN |
Time delay recovery,Channel Estimation,Bayesian Cramer-Rao Bound | Conference | 2160-4886 |
ISBN | Citations | PageRank |
978-1-7281-9723-4 | 0 | 0.34 |
References | Authors | |
17 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imen Nasr | 1 | 11 | 2.71 |
| Tarak Arbi | 2 | 0 | 1.01 |
| Benoit Geller | 3 | 289 | 18.05 |
| Leïla Najjar Atallah | 4 | 24 | 5.55 |
| Sofiane Cherif | 5 | 1 | 1.71 |