NDLI: Blind identification using channel order estimation: subspace approach based on CGM

Content Provider	IEEE Xplore Digital Library
Author	Tanabe, N. Furukawa, T. Sakaniwa, K. Tsujii, S.
Copyright Year	2002
Description	Author affiliation: Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan (Tanabe, N.)
Abstract	Subspace methods (SSM) are an effective approach for blind identification. However, these methods have two major disadvantages: i) they require a large amount of computation for the eigen-value decomposition (EVD) and the singular-value decomposition (SVD), what is more, ii) they require the prior knowledge of accurate channel order. In this paper, we discuss a new algorithm for blind identification using the property of conjugate gradient method (CGM) and using the conception of principal component analysis (PCA), which is based on the orthogonality between the subspaces spanned by the column vectors of the impulse response matrix (the impulse response subspace) and the noise subspace. The new algorithm does not need calculation of both EVD and SVD, and still more the prior knowledge of accurate channel order is unnecessary. Furthermore, the new algorithm has computations O(m/sup 2/) where m is the data vector length. We show the effectiveness of the proposed method by numerical example.
Sponsorship	IEEE Signal Process. Soc
Starting Page	24
Ending Page	28
File Size	277302
Page Count	5
File Format	PDF
ISBN	0780381165
DOI	10.1109/DSPWS.2002.1231069
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	User-generated content Principal component analysis Autocorrelation Computational complexity Equations Engineering management Systems engineering and theory Gradient methods Convergence Degradation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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