A Robust Spectrum Sensing Method Using Filter Bank
Robust spectrum sensing is one of the essential issues for building and commercializing the cognitive radio system. With the challenging wireless environment, a reliable and computation feasible real-time spectrum sensing method using filter bank has been proposed in this letter. Extended Gaussian Function and Fast Fourier Transform are effectively combined together to implement a non-parameter and thus robust spectrum sensing. Numerical results are provided to compare the performance of the proposed method with that of the existing spectrum sensing.
D. F. Zhao et al., "A Robust Spectrum Sensing Method Using Filter Bank", Applied Mechanics and Materials, Vols. 58-60, pp. 54-59, 2011