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Some Results on Blind Deconvolution Applied to Digital Communication Signals
Telecome Paris, 46 rue Barrault, 75634 Paris Cedex 13.
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-2298-6774
ArrayComm Inc., San Jose, CA 95134, USA.
1997 (English)In: Proceedings of DSP 97, 1997, 107-110 p.Conference paper (Refereed)
Abstract [en]

Blind deconvolution techniques applied to spatially and/or temporally oversampled signals have recentlyattracted much interest in the research community. This contribution contains an analysis of experimental data collected from an antenna array in a suburban environment. The Noise Subspace (NS) technique of [1] and the Linear Prediction(LP) method of [2, 4] are examined. The real data examples presented demonstrate a case where joint spatial and temporal deconvolution has clear benefits as compared to decoupled processing.

Place, publisher, year, edition, pages
1997. 107-110 p.
Keyword [en]
Blind deconvolution, oversampled signals, antenna array, suburban environment, spatial deconvolution, temporal deconvolution, decoupled processing
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-79341OAI: diva2:495367
DSP 97, Santorini, Greece
invited paper NR 20140805Available from: 2012-02-08 Created: 2012-02-08 Last updated: 2012-02-08Bibliographically approved

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ReferencesLink to record
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