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Detection and parameter estimation of multiple nonGaussian sources via higher order statistics

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2 Author(s)
Shamsunder, S. ; Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA ; Giannakis, G.B.

Simultaneous detection of signal arriving at a sensor array and estimation of their parameters is carried out using higher than second-order statistics. Information theoretic criteria which are (at least theoretically) insensitive to additive Gaussian noise are developed to estimate consistently the parameters as well as the number of non-Gaussian but unknown sources. The novel cumulant based algorithms can estimate parameters of more sources with fewer sensors. Simulations confirm superior resolution capability of the proposed methods for both narrow-band and wideband sources in the presence of low SNR additive correlated Gaussian noise

Published in:

Signal Processing, IEEE Transactions on  (Volume:42 ,  Issue: 5 )

Date of Publication:

May 1994

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