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A Fast Blind Channel Estimation Method for ZP-OFDM Systems

Al-Ayyan, F. O. ; Leung, Y. H. ; Zoubir, A. M. (2005)
A Fast Blind Channel Estimation Method for ZP-OFDM Systems.
13th IEEE Workshop on Statistical Signal Processing. Bordeaux, France (17.-20.07.2005)
doi: 10.1109/SSP.2005.1628676
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We develop an adaptive blind channel estimation method for an OFDM system using zero padding based on the minimum noise subspace. By applying the gradient method, a new adaptive algorithm is derived that have a number of attractive properties such as low computational complexity and good numerical stability. We extend the idea of spatial diversity for the proposed system to obtain high performance in the presence of additive channel noise. A suitable pre-FFT zero-forcing linear equalizer is also proposed. It is shown that the proposed method is computationally more efficient than existing systems and is consider as a powerful tools for the spatial diversity.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2005
Autor(en): Al-Ayyan, F. O. ; Leung, Y. H. ; Zoubir, A. M.
Art des Eintrags: Bibliographie
Titel: A Fast Blind Channel Estimation Method for ZP-OFDM Systems
Sprache: Englisch
Publikationsjahr: 21 Juli 2005
Verlag: IEEE
Buchtitel: 2005 IEEE/SP 13th Workshop on Statistical Signal Processing
Veranstaltungstitel: 13th IEEE Workshop on Statistical Signal Processing
Veranstaltungsort: Bordeaux, France
Veranstaltungsdatum: 17.-20.07.2005
DOI: 10.1109/SSP.2005.1628676
Kurzbeschreibung (Abstract):

We develop an adaptive blind channel estimation method for an OFDM system using zero padding based on the minimum noise subspace. By applying the gradient method, a new adaptive algorithm is derived that have a number of attractive properties such as low computational complexity and good numerical stability. We extend the idea of spatial diversity for the proposed system to obtain high performance in the presence of additive channel noise. A suitable pre-FFT zero-forcing linear equalizer is also proposed. It is shown that the proposed method is computationally more efficient than existing systems and is consider as a powerful tools for the spatial diversity.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung
Hinterlegungsdatum: 09 Okt 2014 12:04
Letzte Änderung: 15 Nov 2023 11:43
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