Stochastic Resonance Based on PSO with Applications in Multiple Line-spectrums Detection
Based on the deficiency of the traditional stochastic resonance method in multi-parameters optimization and the difficulty of adaptive stochastic resonance with genetic algorithm in multiple line- spectrums detection,a new method of adaptive swept stochastic resonance based on particle swarm optimization (PSO) is proposed.The signal-noise-ratio (SNR) of outputs of bistable system is determined as the fitness function of PSO and the line-spectrum can be detected by the synchronous optimization of multi-parameters.Simultaneously,the adaptive swept stochastic resonance,combined with twice sampling algorithm and PSO algorithm,achieves the detection of multiple line-spectrums.The simulation results show that the proposed method can detect multiple line- spectrums signal effectively,and has advantages of simplicity and fast convergence speed.
Stochastic resonance Particle swarm optimization Adaptive swept Twice sampling Line-spectrum detection
Zhikai Fu Jianchun Xing Shuangqing Wang Qiliang Yang
College of Defense Engineering PLA University of Science and Technology Nanjing,China
国际会议
南京
英文
1-5
2013-08-20（万方平台首次上网日期，不代表论文的发表时间）