Robust Exponential Hyperbolic Tangent Geman-McClure Based Identification of Nonlinear Systems

This manuscript presents a new technique to improve the performance of adaptive filters in handling the non-Gaussian or impulsive noise environment. The conduct of the adaptive filter decays in the presence of impulsive noise or outliers. To improve the efficiency of the filtering technique, this work presents a robust exponential hyperbolic tangent Geman McClure function for nonlinear system identification. The algorithm utilizes the saturation properties of the hyperbolic tangent function to improve the performance under impulsive noise. The simulation results clearly illustrate the potency of the suggested technique.