An Efficient Recognition Algorithm Between Analog and Digital Signals at Low SNR

Signal recognition plays more and more important roles in future communication. In this paper, we proposed a novel recognition algorithm between analog signals and digital signals at low SNR, combining non-linear transform and wavelet transform. The algorithm requires no priori condition, and has low calculation cost. Simulation results shows a higher correct recognition probability, 100 % at SNR of higher than 6 dB, 98% at 3dB and 90% at -4 dB.