Petrella, Angelo (2009) Synchronization Algorithms for FBMC Systems. [Tesi di dottorato] (Unpublished)
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Synchronization Algorithms for FBMC Systems |
| Creators: | Creators Email Petrella, Angelo angelopetrella83@hotmail.com |
| Date: | 2009 |
| Number of Pages: | 201 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Ingegneria biomedica, elettronica e delle comunicazioni |
| Scuola di dottorato: | Ingegneria dell'informazione |
| Dottorato: | Ingegneria elettronica e delle telecomunicazioni |
| Ciclo di dottorato: | 22 |
| Coordinatore del Corso di dottorato: | nome email Rinaldi, Niccolò nirinarld@unina.it |
| Tutor: | nome email Tanda, Mario tanda@unina.it |
| Date: | 2009 |
| Number of Pages: | 201 |
| Keywords: | FBMC, Synchronization, FMT, OFDM/OQAM, Blind, Data-Aided, Symbol Timing, Carrier Frequency Offset |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/03 - Telecomunicazioni |
| Date Deposited: | 24 May 2010 10:36 |
| Last Modified: | 30 Apr 2014 19:39 |
| URI: | http://www.fedoa.unina.it/id/eprint/3906 |
| DOI: | 10.6092/UNINA/FEDOA/3906 |
Collection description
Filter bank multicarrier (FBMC) systems, such as FMT and OFDM/OQAM systems, can provide reduced sensitivity to narrowband interference, high flexibility to allocate group of subchannels to different users and a high spectral containment. On the other hand, as all the multicarrier modulation schemes, one of their major drawbacks is their sensitivity to CFO and symbol timing errors. In this thesis the problem of CFO and symbol timing synchronization is examined and new data-aided and blind estimation techniques are proposed. Specifically, it is presented a new joint symbol timing and CFO synchronization algorithm based on the LS approach. Moreover, the joint ML phase offset, CFO and symbol timing estimator for a multiple access OFDM/OQAM system is considered. It is also proposed a closed-form CFO estimator based on the best linear unbiased estimation principle for FMT systems. Blind CFO estimators based on the ML principle for low SNR are also considered and, moreover, a closed-form CFO synchronization algorithm based on the LS method is derived. Finally, it is also proposed, under the assumption of low SNR, the joint ML symbol timing and phase offset estimator.
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