A New Choice of Penalty Function for Robust Multiuser Detection Based on$M$-Estimation

B. Seyfe, S. Valaee
2005 IEEE Transactions on Communications  
In this letter, we propose a new robust MUD, called detector, for non-Gaussian noise. We consider the Gaussianmixture model for non-Gaussian or impulsive noise. Our technique outperforms the decorrelator and the minimax detectors in highly impulsive noise. The proposed method uses a parametric cost function, where the parameter is selected using the difference between the asymptotic variance of estimation error of the detector and that of the minimax detector.
doi:10.1109/tcomm.2004.842001 fatcat:ugvxeduvdnbpnhpgnvagzwgg6q