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《Acta Electronica Sinica》 2017-08
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Adaptive Stochastic Resonance Method Based on Artificial-Fish Swarm Optimization

KONG De-yang;PENG Hua;MA Jin-quan;PLA Information Engineering University;  
Stochastic resonance provided newways detecting weak communication signals. A newmethod based on artificial-fish swarm optimization is proposed whose emphasis is on weak periodic signal detection based on stochastic resonance. Artificial-fish swarm optimization is combined with normalization of stochastic resonance. Noise is utilized by adding it to the signal while newadaptive step strategy and iteration stopping strategy are also used. The results of theoretical analysis and simulation experiments showthis proposed method have great promotions on adaptability,stability,precision of the optimal resonance and the convergence speed,as well as a great promotion of 3-5d B on SNR gain compared with traditional stochastic resonance based on swarm optimization. Meanwhile,the time complexity of calculation is decreased by 70%.
【Key Words】: stochastic resonance artificial-fish swarm optimization normalization method adaptive step
【Fund】: 国家自然科学基金(No.61401511)
【CateGory Index】: TN911.23;TP18
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