An Efficient Recognition Algorithm Between Analog and Digital Signals at Low SNR
ICICTA), 2010 International Conference（2010）
摘要
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.
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关键词
signal recognition,future communication,signal processing,nonlinear transform,important role,low snr,wavelet transforms,analog signal,higher correct recognition probability,digital signals,novel recognition algorithm,analog signals,symbol rate,modulation recognition,wavelet transform,digital signal,non-linear transform,simulation result,low calculation cost,efficient recognition algorithm,phase modulation,automation,linear transformation,signal to noise ratio,frequency,pulse modulation,amplitude modulation,algorithm design and analysis,analog computers,modulation,classification algorithms
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