Exact and Large Sample ML Techniques for Parameter Estimation and Detection in Array Processing
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)
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.
, Springer Series in Information Sciences, ISSN 0720-678X ; 25
Sensor array, Signal processing, Parametrization
IdentifiersURN: 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