摘要
提出了一种基于多点随机搜索算法的自适应随机共振系统模型,并以LabVIEW为平台开发了自适应随机共振微弱信号检测系统.该检测系统以典型非线性双稳系统为信号处理核心,以系统输出信噪比为优化目标函数,采用多点随机搜索算法自适应调整系统结构参数,使系统处于随机共振最佳状态,并获取微弱信号的频率特征值.利用该系统可测试各种系统参数及高斯噪声对随机共振的影响.实验结果表明,该系统检测效果良好,具有较好的应用价值.
A model of adaptive stochastic resonance system based on the multi-point random search algorithm is proposed, and a weak signal detection system of adaptive stochastic resonance is established on the LabVIEW development platform. Our detection system uses typical nonlinear bistable system as the core of signal process-ing, and takes the system output signal-to-noise ratio as the optimizing objective function. The muhi-point ran-dom search algorithm is used to adjust the structure parameters adaptively, and keeps the stochastic resonance system in an optimal state. Then the frequency of the weak signal is obtained. Our system can be applied to study the effect of system parameters and Gaussian noise on the stochastic resonance. Experimental results show that the detection system is efficient, and has potential applications.
出处
《常熟理工学院学报》
2013年第2期84-88,共5页
Journal of Changshu Institute of Technology
基金
江苏省高校自然科学研究计划项目"自适应随机共振信号检测技术研究"(10KJD510002)
关键词
多点随机搜索
自适应
随机共振
信号检测
multiple random search
adaptivity
stochastic resonance
signal detection
