Spectrum Sensing Based on Maximum Generalized Correntropy Under Symmetric Alpha Stable Noise

In this correspondence paper, we address the spectrum sensing problem under the non-Gaussian noise scenario characterized by the symmetric alpha stable (SαS) model. In this paper, a novel spectrum sensing method is proposed using the maximum generalized correntropy, aimed at improving the spectrum sensing performance in low generalized signal-to-noise ratio conditions. To further enhance the robustness of the proposed method, multiple receive antennas are applied to carry out cooperative spectrum sensing. Besides, a modified conjugate gradient algorithm is used to optimize the sparse vector for cooperative spectrum sensing. Finally, simulation results are presented to verify the effectiveness of the proposed method.