The application of stochastic resonance in parameter estimation for PSK signals

Stochastic Resonance (SR) is a nonlinear phenomenon that the input signal´s signal-to-noise ratio (SNR) could be enhanced under special conditions. This paper proposes a novel parameter estimation algorithm for PSK signals based on SR. By introducing a nonlinear system into traditional estimation algorithms to enhance the signal´s SNR, this proposed algorithm can achieve higher accuracy with respect to the traditional algorithm at the same SNR condition. Computer simulation shows the efficiency of this new algorithm.