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Analysis of Subspac...
Analysis of Subspace Fitting and ML Techniques for Parameter Estimation from Sensor Array Data
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- Ottersten, Björn, 1961- (författare)
- KTH,Linköpings universitet,Reglerteknik,Tekniska högskolan,Signalbehandling,Signal Processing
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- Viberg, Mats (författare)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Kailath, Thomas (författare)
- Stanford University, USA
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 1992
- 1992
- Engelska.
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Ingår i: IEEE Transactions on Signal Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1053-587X .- 1941-0476. ; 40:3, s. 590-600
- Relaterad länk:
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Abstract
Ämnesord
Stäng
- It is shown that the multidimensional signal subspace method, termed weighted subspace fitting (WSF), is asymptotically efficient. This results in a novel, compact matrix expression for the Cramer-Rao bound (CRB) on the estimation error variance. The asymptotic analysis of the maximum likelihood (ML) and WSF methods is extended to deterministic emitter signals. The asymptotic properties of the estimates for this case are shown to be identical to the Gaussian emitter signal case, i.e. independent of the actual signal waveforms. Conclusions concerning the modeling aspect of the sensor array problem are drawn.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Detectors
- Matrix algebra
- Parameter estimation
- Signal processing
- Automatic control
- Reglerteknik
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