The minimum error entropy based robust wireless channel tracking in impulsive noise
Article Ecrit par: Yisheng, Xue ; Zhu, Xuelong ;
Résumé: This letter concerns the problem of adaptive wireless channel tracking in the non-Gaussian <alpha>-stable noise. By assuming a primitive Cauchy distribution for the estimate error and minimizing the entropy of error, we develop the least entropy of error (LEE) based wireless channel tracking algorithm and the second-order LEE (SOLEE) algorithm. Simulation results show that both algorithms are robust to the impulsive noise and such robustness can be achieved without any performance loss in the Gaussian noise.
Langue:
Anglais