Cooperative spectrum sensing algorithm based on Katz fractal dimension

摘要

Communication signal and noise's waveform can be described and distinguished by fractal theory with their irregular characteristics. In current cognitive radio system, single node spectrum sensing is susceptible to noise uncertainty and its detection accuracy in low SNR situation is poor. To solve these issues, a cooperative spectrum sensing algorithm based on Katz fractal dimension is proposed. It detects Primary user's signals that is according to the difference between noise and Katz fractal dimension's characteristics in frequency domain multi-user environment. Simulations and analyses of the proposed method show some advantages by comparing with cooperative spectrum sensing algorithm based on box dimension and traditional energy detection method, such as insensitive to noise uncertainty, high detection accuracy in low SNR situations, not requiring for priori knowledge of primary user, and less affected by modulation parameters.