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A statistical appro...
A statistical approach to subspace based blind identification
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- Kristensson, Martin (författare)
- KTH,Signaler, sensorer och system,Signal Processing
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- Ottersten, Björn, 1961- (författare)
- KTH,Signaler, sensorer och system,Signal Processing
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 1998
- 1998
- Engelska.
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Ingår i: IEEE Transactions on Signal Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1053-587X .- 1941-0476. ; 46:6, s. 1612-1623
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Blind identification of single input multiple output systems is considered herein. The low-rank structure of the output signal is exploited to blindly identify the channel using a subspace fitting framework. Two approaches based on a minimal linear parameterization of a subspace are presented and analyzed. The asymptotically best consistent estimate is derived for the class of blind subspace-based techniques. The asymptotic estimation error covariance of the subspace estimates is derived, and the corresponding covariance of the statistically optimal estimates provides a lower bound on the estimation error covariance of subspace methods. A two-step procedure involving only linear systems of equations is presented that asymptotically achieves the bound. Simulations and numerical examples are provided to compare the two approaches.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Blind idenification
- equalization
- single-input multiple output system
- statistical analysis
- subspace fitting
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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