A New Approach to Improve Signal Classification in Low SNR Environment in Spectrum Sensing
Hang Liu, Dan Yu, Xiangwei Kong · 2008
The performance of cognitive radio is sensitive to the accuracy of signal classification. The proposed method can increase the accuracy of existing methods on the certain degree at SNR=0 dB and below. In simulation, we classify five types of signals which are AM, BPSK, FSK, MSK and QPSK. The experiments show that above 99.9% received signals are correctly classified at SNR=-12 dB and above.