DocumentCode :
1885256
Title :
GLRT detection of broadband signals using an array of electromagnetic vector sensors
Author :
Burgess, Keith A. ; Veen, Barry D Van
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume :
2
fYear :
1994
fDate :
31 Oct-2 Nov 1994
Firstpage :
770
Abstract :
The problem of detecting a point-source, broadband signal originating from a known direction is addressed using an array of vector sensors. The signal is accompanied by zero-mean noise with an unknown covariance. The broadband detector is constructed by transforming each narrowband snapshot in the frequency domain into a rank one subspace. This reduces the broadband problem into a generalization of the narrowband detection problem and yields results formerly associated only with the narrowband detection problem. Consideration is also given to a subspace extension, called a `sparse subspace´, that exploits the symmetry inherent in the received electromagnetic field
Keywords :
Gaussian noise; array signal processing; covariance matrices; electric sensing devices; electromagnetic fields; magnetic sensors; signal detection; GLRT detection; Gaussian noise; broadband detector; broadband signals; covariance; electromagnetic vector sensors; frequency domain; narrowband detection problem; narrowband snapshot; rank one subspace; received electromagnetic field; signal detection; sparse subspace; subspace extension; vector sensors array; zero-mean noise; Additive noise; Detectors; Electric variables measurement; Interference; Magnetic sensors; Multi-stage noise shaping; Narrowband; Sensor arrays; Signal detection; Spectral shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-6405-3
Type :
conf
DOI :
10.1109/ACSSC.1994.471566
Filename :
471566
Link To Document :
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