Wavelet-Based Spectrum Sensing For Cognitive Radios Using Hilbert Transform
Shiann‐Shiun Jeng, Jiaming Chen, Hong‐Zong Lin, Chen‐Wan Tsung · 2011
For cognitive radio networks, there is a major spectrum sensing problem, i.e. dynamic spectrum management. It is an important issue to sense and identify the spectrum holes in cognitive radio networks. The first-order derivative scheme is usually used to detect the edge of the spectrum. In this paper, a novel spectrum sensing technique for cognitive radio is presented. The proposed algorithm offers efficient edge detection. Then, simulation results show the performance of the first-order derivative scheme and the proposed scheme and depict that the proposed scheme obtains better performance than does the first-order derivative scheme.