DocumentCode
287927
Title
Array modeling and signal detection for nonGaussian data
Author
Baker, Charles R.
Author_Institution
Carolinian Syst. Res. Corp., Chapel Hill, NC, USA
Volume
2
fYear
1994
fDate
13-16 Sep 1994
Abstract
Representations are obtained for a stochastic process obtained as the output from an M-element array of sensors and due to the sum of received data and sensor noise. No assumptions are made on the statistical properties of the data, other than that the internal noise generated by each sensor is stationary and Gaussian. The characterization is in terms of functions that can be estimated from data. A general characterization is obtained, based on a property of the array filters that will obtain in many applications. Applications to signal detection are discussed
Keywords
array signal processing; filtering theory; signal detection; signal representation; stochastic processes; M-element array; array filters; general characterization; internal noise; nonGaussian data; signal detection; stochastic process; Gaussian noise; Mathematical model; Noise generators; Nonlinear filters; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Signal detection; Signal processing; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
Conference_Location
Brest
Print_ISBN
0-7803-2056-5
Type
conf
DOI
10.1109/OCEANS.1994.364113
Filename
364113
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