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Asymptotic Robustness of Sensor Array Processing Methods
Stanford University, CA, USA.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1990 (English)Report (Other academic)
Abstract [en]

Methods for estimating the parameters of narrowband signals arriving at an array of sensors are analyzed. Asymptotic results for several estimators have recently appeared in the literature. With few exceptions, the previous analysis requires the incident signal waveforms to be Gaussian random variables. These results are shown to be valid under much more general conditions, i.e. the actual distribution of the signal waveforms does not affect the asymptotic properties of the parameter.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1990. , 5 p.
Series
LiTH-ISY-I, ISSN 8765-4321 ; 1054
Keyword [en]
Parameter estimation, Signal detection, Signal processing, Gaussian random variables, Incident signal waveforms
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-104031OAI: oai:DiVA.org:liu-104031DiVA: diva2:694416
Available from: 2014-02-06 Created: 2014-02-06 Last updated: 2014-02-06

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • sv-SE
  • Other locale
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Output format
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