Show simple item record

dc.contributor.authorKlemm, Richard
dc.date.accessioned2018-10-11T14:05:48Z
dc.date.available2018-10-11T14:05:48Z
dc.date.issued1980/10
dc.identifier1620
dc.identifier.govdocSM-142
dc.identifier.urihttp://hdl.handle.net/20.500.12489/147
dc.description.abstractEstimation of an unknown parameter of a random data ensemble is usually done by maximizing a certain power estimator by varying the unknown parameter. This method is convenient where the data are a nonlinear function of the parameter. It is shown for a variety of power estimators that high resolution is always based on the orthogonality between the observed data and a weighting vector that contains the parameter. Some examples illustrate the use of these power estimators to locate sources by means of array antennas.
dc.format8 p. : ill.
dc.languageEnglish
dc.publisherNATO. SACLANTCEN
dc.relation.ispartofseriesADA091323
dc.sourceIn: Signal Processing: theories and applications, M.Kunt and F. de Coulon (editors), North-Holland, 1980.
dc.subjectSignal processing
dc.subjectData fusion
dc.titleHigh-resolution analysis of non-stationary data ensembles
dc.typeScientific Memorandum (SM)
dc.typePapers and Articles


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record