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Statistical Analysis of a Subspace Method for Blind Channel Identification
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0003-2298-6774
1996 (English)In: Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP-96., IEEE , 1996, 2435-2438 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers the problem of blind channel estimation of multi-channel FIR filters. This is a problem arising in, for example, mobile communication systems using digital signalling. By using the orthogonality property between the noise subspace and the channel matrix, it has been shown in earlier work that the channel matrix is identifiable up to a multiplicative constant. In this article, the asymptotic properties of a subspace method using this orthogonality property is presented. An asymptotically correct weighting matrix is derived, demonstrating an attainable lower theoretical bound using the subspace estimate.

Place, publisher, year, edition, pages
IEEE , 1996. 2435-2438 p.
Keyword [en]
Additive white noise, Blind equalizers, Covariance matrix, Data communication, Finite impulse response filter, Mobile communication, Sensor arrays, Sensor systems, Signal processing, Statistical analysis
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-92589DOI: 10.1109/ICASSP.1996.547955OAI: oai:DiVA.org:kth-92589DiVA: diva2:513859
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP-96. 7-10 May 1996, Atlanta, GA
Note
NR 20140805Available from: 2012-04-03 Created: 2012-04-03 Last updated: 2012-04-03Bibliographically approved

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Ottersten, Björn

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