Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Signal Detection in Severely Heavy-Tailed Radar Clutter
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
Capture Properties of the Generalized CMA in Alpha-Stable Noise Environment
Wireless Personal Communications: An International Journal
Fast estimation of the parameters of alpha-stable impulsiveinterference
IEEE Transactions on Signal Processing
The constant modulus array for cochannel signal copy and directionfinding
IEEE Transactions on Signal Processing
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The separation of cochannel signals is of interest in communication community. Some algorithms based on constant modulus (CM) have been previously developed to separate cochannel signals with the assumption of Gaussian channel noise. The mismatches of noise models between the assumed channel noise and the practical noise may occur. These mismatches will inevitably lead the performance of cochannel signals separation to degrade. In this paper the alpha-stable distribution is employed as noise model to simulate impulsive noise occurring in wireless channel. A constant modulus algorithm is proposed to separate the cochannel signals based on fractional lower-order statistics (FLOS). The convergence of the CM array is analyzed. Numerical simulations are presented to verify the accuracy of the analytical results.