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Optimal Localizatio...
Optimal Localization of Partially Known Signals in Unknown Noise Fields
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- Stoica, Petre (författare)
- Department of Systems and Control, Uppsala University, Uppsala, Sweden
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- Viberg, Mats (författare)
- Dept. of Appl. El. Chalmers Univ. Tech, S-75103, Uppsala Sweden
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- Ottersten, Björn, 1961- (författare)
- KTH,Signaler, sensorer och system
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- Kailath, Thomas (författare)
- Info. Syst. Lab., Stanfoni Univ, Stanford, CA 94905, USA
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Department of Systems and Control, Uppsala University, Uppsala, Sweden Dept of Appl. El. Chalmers Univ. Tech, S-75103, Uppsala Sweden (creator_code:org_t)
- IEEE, 1994
- 1994
- Engelska.
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Ingår i: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-94. - : IEEE. ; , s. 217-220
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Most methods for sensor array signal processing require the covariance matrix of the background noise to beknown. Various techniques for overcoming this limitation have recently been proposed. While most of these are based on assumptions on the noise, we present herein an alternative approach based on partial knowledge of thesignals. Methods yielding minimum variance estimates for the model in question are presented and analyzed.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Background noise
- Colored noise
- Contracts
- Covariance matrix
- Direction of arrival estimation
- Phased arrays
- Sensor arrays
- Sensor phenomena and characterization
- Signal processing
- Yield estimation
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)