NDLI: Blind spatial signature estimation via time-varying user power loading and parallel factor analysis

Content Provider	IEEE Xplore Digital Library
Author	Yue Rong Vorobyov, S.A. Gershman, A.B. Sidiropoulos, N.D.
Copyright Year	1991
Abstract	In this paper, the problem of blind spatial signature estimation using the parallel factor (PARAFAC) analysis model is addressed in application to wireless communications. A time-varying user power loading in the uplink mode is proposed to make the model identifiable and to enable application of PARAFAC analysis. Then, identifiability issues are studied in detail and closed-form expressions for the corresponding modified Crame/spl acute/r-Rao bound (CRB) are obtained. Furthermore, two blind spatial signature estimation algorithms are developed. The first technique is based on the PARAFAC fitting trilinear alternating least squares (TALS) regression procedure, whereas the second one makes use of the joint approximate diagonalization algorithm. These techniques do not require any knowledge of the propagation channel and/or sensor array manifold and are applicable to a more general class of scenarios than earlier approaches to blind spatial signature estimation.
Sponsorship	IEEE Signal Processing Society
Starting Page	1697
Ending Page	1710
Page Count	14
File Size	697178
File Format	PDF
ISSN	1053587X
Volume Number	53
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Sensor arrays Wireless communication Least squares approximation Array signal processing Antenna arrays Closed-form solution Antennas and propagation Fading sensor array processing Blind spatial signature estimation parallel factor analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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