Title :
Blind identification in non-Gaussian impulsive environments
Author :
Ma, Xinyu ; Nikias, Chrysostomos L.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A new algorithm is proposed for blind channel identification in the impulsive signal environments, where the signals are modeled as symmetric α-stable processes. The alpha-spectrum, a new spectral representation based on fractional lower-order moments, is developed. Conditions for blind identifiability of any FIR channel (non-minimum phase, unknown order) are established using the properties of the alpha-spectrum
Keywords :
covariance analysis; identification; signal representation; spectral analysis; telecommunication channels; FIR channel; algorithm; alpha-spectrum; blind identification; fractional lower-order moments; impulsive signal environments; nonGaussian impulsive environments; nonminimum phase; spectral representation; symmetric α-stable processes; Contracts; Finite impulse response filter; Higher order statistics; Image processing; Limiting; Probability distribution; Random variables; Robustness; Signal processing;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.531317
