A Novel Modulation Recognition Algorithms for Wireless Analog Signal
In this paper, a novel modulation recognition algorithm for wireless analog signal is proposed. Firstly, Hilbert transform is applied to construct the analytic signal and time–frequency analysis, and then the modulation recognition method based decision theory is introduced and whose drawbacks are indicated, finally, we propose the description of modulation recognition algorithm based on wavelet transform and BP neural network. Simulation results show that the proposed method can automatically recognize the wireless analog signal. Furthermore, the recognition rate of wireless analog signal can reach to 85 % when the Signal–Noise ratio (SNR) reduce to 0 dB.
KeywordsModulation recognition Decision theory BP neural network Morlet wavelet
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