A PSK Signal Symbol Rate Estimation Algorithm based on the Combination of Stochastic Resonance and Wavelet Transform

Abstract

In non-cooperative communications, the deterioration of the channel makes the SNR of the received PSK signals at a low level, resulting in the failure to estimate the symbol rate. Stochastic resonance can use noise energy to strengthen the weak signals, and wavelet transform can effectively detect the transient phase. This paper proposes to use stochastic resonance combined with wavelet transform to estimate the symbol rate of the PSK signals. It not only overcomes the drawback that stochastic resonance disperses easily as a nonlinear system, but also reduces the influence of the optimal size of the wavelet. The simulation results show that this method can improve the output peak to a certain extent and reduce the threshold of SNR, which is of great significance for the symbol rate estimation for weak signals.