Title :
Single sensor detection and classification of multiple sources by higher-order spectra
Author :
M.C. Dogan;J.M. Mendel
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
6/14/1905 12:00:00 AM
Abstract :
A method to detect the number of nonGaussian sources is distinguished by its ability to perform detection with single sensor data, and is blind to Gaussian observation noise. After the detection procedure, the authors propose an algorithm for classification of sources employing a prior knowledge of their spectra. Simulation results indicate the performance of the algorithms.
Keywords :
"Signal processing algorithms","Signal processing","Sensor arrays","Gaussian noise","Higher order statistics","Array signal processing","Additive noise","Shape","Image processing","Levee"
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Print_ISBN :
0-7803-0508-6
DOI :
10.1109/SSAP.1992.246819