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Asymptotic Robustness of Sensor Arrary Processing Methods
Stanford University, CA, USA.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1990 (English)In: Proceedings of the 1990 International Conference on Acoustics, Speech and Signal Processing, 1990, 2635-2638 p.Conference paper, Published paper (Refereed)
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
1990. 2635-2638 p.
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-100560DOI: 10.1109/ICASSP.1990.116156OAI: oai:DiVA.org:liu-100560DiVA: diva2:663077
Conference
1990 International Conference on Acoustics, Speech and Signal Processing, 3-6 April, Albuquerque, NM, USA
Available from: 2013-11-09 Created: 2013-11-09 Last updated: 2014-02-06

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CiteExportLink to record
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Citation style
  • apa
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