DocumentCode
3382249
Title
Fourth-order cumulant structure forcing: application to blind array processing
Author
Cardoso, Jean-François
Author_Institution
Telecom Paris, France
fYear
1992
fDate
7-9 Oct 1992
Firstpage
136
Lastpage
139
Abstract
In blind array processing, the array manifold is unknown but, under the signal independence assumption, the signal parameters can be estimated by recourse to higher-order information. The author considers the 4th-order cumulant tensor and shows that sample cumulant enhancement based on rank and symmetry properties yield cumulant estimates with exact theoretical structure. Any identification procedure based on enhancement cumulants is then equivalent to cumulant matching, bypassing the need for initialization and optimization
Keywords
array signal processing; parameter estimation; statistical analysis; tensors; blind array processing; cumulant matching; fourth-order cumulant structure forcing; higher order statistics; identification procedure; parameter estimation; rank; sample cumulant enhancement; signal independence; symmetry; Additive noise; Array signal processing; Data models; Higher order statistics; Narrowband; Parameter estimation; Signal processing; Tensile stress; Vectors; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246830
Filename
246830
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