Petrella, Angelo (2009) Synchronization Algorithms for FBMC Systems. [Tesi di dottorato] (Unpublished)

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Item Type: Tesi di dottorato
Language: English
Title: Synchronization Algorithms for FBMC Systems
Creators:
CreatorsEmail
Petrella, Angeloangelopetrella83@hotmail.com
Date: 2009
Number of Pages: 201
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria biomedica, elettronica e delle comunicazioni
Doctoral School: Ingegneria dell'informazione
PHD name: Ingegneria elettronica e delle telecomunicazioni
PHD cycle: 22
PHD Coordinator:
nameemail
Rinaldi, Niccolònirinarld@unina.it
Tutor:
nameemail
Tanda, Mariotanda@unina.it
Date: 2009
Number of Pages: 201
Uncontrolled Keywords: FBMC, Synchronization, FMT, OFDM/OQAM, Blind, Data-Aided, Symbol Timing, Carrier Frequency Offset
MIUR S.S.D.: 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

Abstract

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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