Title :
Sources identification in unknown Gaussian coloured noise with composite HNL statistics
Author :
Scarano, G. ; Jacovitti, G.
Author_Institution :
CNR, Istituto di Acustica ´´O.M. Corbino´´, Rome, Italy
Abstract :
The extension of higher order moments based spectral analysis to hybrid nonlinear (HNL) moments is theoretically discussed. It is shown that the structure of the covariance matrix of harmonic processes is retained by HNL moments matrices, thus allowing the use of eigenassisted estimation procedures. The Gaussian components insensitivity of slice cumulants is generalized to a subclass of HNL moments, and a covariance subtraction method for blind rejection of colored noise is proposed. Simulation results confirm the applicability of such a procedure for bearings estimation in array processing schemes
Keywords :
eigenvalues and eigenfunctions; identification; matrix algebra; random noise; spectral analysis; statistics; Gaussian coloured noise; Gaussian components insensitivity; HNL statistics; array processing; bearings estimation; blind rejection; covariance matrix; covariance subtraction method; eigenassisted estimation; harmonic processes; hybrid nonlinear moments; noise rejection; simulation results; slice cumulants; sources identification; spectral analysis; Array signal processing; Colored noise; Covariance matrix; Gaussian noise; Harmonic analysis; Higher order statistics; Noise measurement; Sensor arrays; Spectral analysis; Statistical analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150200
