Name
Abstract | ||
|---|---|---|
We address the blind equalization of a telecommunica- tion signal, the characteristics of which are totally un- known (channel, symbol period, alphabet of the sym- bols, frequency offset). In (1) was proposed a method- ology originating from deconvolution ideas, for jointly estimating the symbol period and the emitted symbols. In this contribution, we show that the presence of a fre- quency offset does not alter this approach. Simulation results illustrate the robustness of the Ts estimate with respect to the frequency offset. 1 Introduction and notations In the field of digital communication, we consider the following base-band model |
Year | Venue | Keywords |
|---|---|---|
2002 | EUSIPCO | deconvolution,equalisers,frequency estimation,blind equalization,emitted symbol period estimation,frequency offset estimation,telecommunication signal |
Field | DocType | ISSN |
Computer science,Frequency offset,Deconvolution,Symbol period,Communication channel,Robustness (computer science),Speech recognition,Blind equalization,Alphabet | Conference | 2219-5491 |
Citations | PageRank | References |
2 | 0.37 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sébastien Houcke | 1 | 65 | 7.04 |
| Antoine Chevreuil | 2 | 80 | 8.71 |
| P. Ciblat | 3 | 198 | 15.01 |