Efficient Cooperative Spectrum Detection in Cognitive Radio Systems Using Wavelet Fusion

To find spectrum opportunities for secondary (unlicensed) users, cognitive radio Spectrum detection is essential. This research paper proposed an advance spectrum sensing technique consist of wavelet fusion. Denoising and multi-resolution capabilities of wavelet processing are utilized to develop an effective cooperative sensing technique. The proposed algorithm is based on data fusion from different sensors using the wavelet transform, proceeded by wavelet de-noising and energy detection. The proposed algorithm is compared with a previously published algorithm that is based on hard decision fusion proceeded by wavelet processing in each individual sensor. In addition, the results are also compared with the classical cooperative energy detection technique. The results show that our proposed technique outperform previous techniques for a sample false alarm probability.