High-resolution analysis of non-stationary data ensembles

dc.contributor.author	Klemm, Richard
dc.date.accessioned	2018-10-11T14:05:48Z
dc.date.available	2018-10-11T14:05:48Z
dc.date.issued	1980/10
dc.identifier	1620
dc.identifier.govdoc	SM-142
dc.identifier.uri	http://hdl.handle.net/20.500.12489/147
dc.description.abstract	Estimation 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.format	8 p. : ill.
dc.language	English
dc.publisher	NATO. SACLANTCEN
dc.relation.ispartofseries	ADA091323
dc.source	In: Signal Processing: theories and applications, M.Kunt and F. de Coulon (editors), North-Holland, 1980.
dc.subject	Signal processing
dc.subject	Data fusion
dc.title	High-resolution analysis of non-stationary data ensembles
dc.type	Scientific Memorandum (SM)
dc.type	Papers and Articles