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
Link To Document :
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