Proceedings ArticleDOI
Statistical analysis of a subspace method for blind channel identification
M. Kristensson,Bjorn Ottersten +1 more
- Vol. 5, pp 2435-2438
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TLDR
In this article, the asymptotic properties of a subspace method using this orthogonality property is presented, and an asymPTotically correct weighting matrix is derived, demonstrating an attainable lower theoretical bound using the subspace estimate.Abstract:
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.read more
Citations
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Journal ArticleDOI
Multichannel blind identification: from subspace to maximum likelihood methods
Lang Tong,S. Perreau +1 more
TL;DR: A review of blind channel estimation algorithms is presented, from the (second-order) moment-based methods to the maximum likelihood approaches, under both statistical and deterministic signal models.
Journal ArticleDOI
On subspace methods for blind identification of single-input multiple-output FIR systems
TL;DR: This work focuses on subspace estimation procedures, which exploit the structure of the range space of certain matrix-valued statistics constructed by arranging in a prescribed order the covariance coefficients of the observations, and achieves general subspace identifiability results.
Proceedings ArticleDOI
Array processing for wireless communications
TL;DR: Different approaches and techniques for spatial/temporal processing for high mobility cellular systems and low mobility or movable systems are presented and the potential benefits examined.
Array Processing for Wireless Communications
TL;DR: In this article, different approaches and techniques for spatial/temporal processing are presented and critical aspects of SDMA for both high mobility cellular systems and low mobility or movable systems are reviewed and the potential benefits examined.
Proceedings ArticleDOI
Semi-blind second order identification of convolutive channels
A. Gorokhov,P. Loubaton +1 more
TL;DR: Joint utilization of the referenced snapshots with the non-referenced data is considered and a combined estimator originating from the blind subspace based technique applied to the single input multiple output (SIMO) systems identification is constructed.
References
More filters
Journal ArticleDOI
Subspace methods for the blind identification of multichannel FIR filters
TL;DR: This paper addresses a problem arising in a context of digital communications by exploiting an orthogonality property between "signal" and "noise" subspaces to build some quadratic form whose minimization yields the desired estimates up to a scale factor.
Proceedings ArticleDOI
A new approach to blind identification and equalization of multipath channels
Lang Tong,G. Xu,Thomas Kailath +2 more
TL;DR: A novel blind channel identification and equalization method is proposed by exploiting the cyclostationarity of communication signals and achieves equalization with fewer samples than most techniques based on higher-order statistics.
Journal Article
Blind Equalizers
A. Benveniste,M. Goursat +1 more
TL;DR: A general approach is presented for designing efficient blind equalizers for one and two independent carrier transmission systems; a special algorithm is given for the CCITT V29 constellation.
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