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Exact and Large Sample ML Techniques for Parameter Estimation and Detection in Array Processing
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Polytechnic Institute of Bucharest, Romania.
Yale University, USA.
1993 (English)In: Radar Array Processing / [ed] Professor Simon Haykin, Dr. John Litva and Dr. Terence J. Shepherd, Berlin ; New York: Springer Berlin/Heidelberg, 1993, 99-151 p.Chapter in book (Refereed)
Abstract [en]

Sensor array signal processing deals with the problem of extracting information from a collection of measurements obtained from sensors distributed in space. The number of signals present is assumed to be finite, and each signal is parameterized by a finite number of parameters. Based on measurements of the array output, the objective is to estimate the signals and their parameters. This research area has attracted considerable interest for several years. A vast number of algorithms has appeared in the literature for estimating unknown signal parameters from the measured output of a sensor array.

Place, publisher, year, edition, pages
Berlin ; New York: Springer Berlin/Heidelberg, 1993. 99-151 p.
Series
Springer Series in Information Sciences, ISSN 0720-678X ; 25
Keyword [en]
Sensor array, Signal processing, Parametrization
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56330DOI: 10.1007/978-3-642-77347-1_4ISBN: 3-540-55224-3 (Berlin : acid-free paper) ISBN: 978-3-540-55224-6 (Berlin : acid-free paper) ISBN: 0-387-55224-3 (New York : acid-free paper) ISBN: 978-0-387-55224-8 (New York : acid-free paper) OAI: oai:DiVA.org:liu-56330DiVA: diva2:318436
Available from: 2010-05-07 Created: 2010-05-07 Last updated: 2014-03-26

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