Title :
Array modeling and signal detection for nonGaussian data
Author :
Baker, Charles R.
Author_Institution :
Carolinian Syst. Res. Corp., Chapel Hill, NC, USA
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;
Conference_Titel :
OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
Conference_Location :
Brest
Print_ISBN :
0-7803-2056-5
DOI :
10.1109/OCEANS.1994.364113
