An adaptive stochastic resonance detection method based on a fast artificial fish swarm algorithm

Abstract A new stochastic resonance method that is based on a fast artificial fish swarm algorithm has been proposed in an effort to address the adaptive parameter-induced for weak signal detection’s slow convergence time. The target evaluation function system output signal-to-noise ratio. of scale transformation and amplitude compression used pre-process high frequency large parameter signals. To achieve detection applies communication signals, system’s characteristics are constrain optimization iteration rules.According simulation results, significantly better efficiency achieves same results as basic while reducing time by 74.89%.