Lipardi, Maddalena (2009) Widely linear filtering in modern MIMO transceivers. [Tesi di dottorato] (Unpublished)

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Item Type: Tesi di dottorato
Resource language: English
Title: Widely linear filtering in modern MIMO transceivers
Creators:
Creators
Email
Lipardi, Maddalena
lena.lipardi@libero.it
Date: 16 December 2009
Number of Pages: 126
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
nirinald@unina.it
Tutor:
nome
email
Mattera, Davide
mattera@unina.it
Date: 16 December 2009
Number of Pages: 126
Keywords: widely-linear filtering, MIMO equalizers, OFDM-OQAM
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/03 - Telecomunicazioni
Date Deposited: 24 May 2010 10:02
Last Modified: 30 Apr 2014 19:39
URI: http://www.fedoa.unina.it/id/eprint/3905
DOI: 10.6092/UNINA/FEDOA/3905

Collection description

This thesis deals with the multiple-input multiple-output (MIMO) equalization with widely linear (WL) filtering. The WL filtering outperforms the linear one in presence of rotationally variant signals, with no significant complexity increase. It has been used in order to compensate the transmitter and receiver in-phase and quadrature (IQ) imbalance and to design the optimum constellation transmitted over a channel known at the receiver, according to minimum mean square error (MMSE) criterion. Moreover, with reference to OFDM-OQAM systems, it has been proposed an ad hoc MMSE WL-DF equalizer which performs a selective MIMO equalization according to the characteristics of the MIMO channel describing the system. The synthesis of the equalizer has been carried out by an algorithm which exhibits minimum storage requirements. The equalizer has proved efficient for OFDM-OQAM systems, achieving the best trade-off between performance and complexity.

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