您的位置:首页  > 论文页面

自适应随机共振系统最佳参数设计

发表时间:2017-11-30  浏览量:1002  下载量:117
全部作者: 张国勇,王军,李少谦
作者单位: 电子科技大学通信抗干扰技术国家级重点实验室
摘 要: 针对现有随机共振(stochastic resonance,SR)系统最佳匹配参数设计方法复杂且无法保证最优的问题,提出其最佳参数设计方法。首先,利用低频参考周期信号频率匹配Kramers 跃迁率与最大化输出信噪比(signal-to-noise ratio,SNR)的关系,推导出参考信号对应的SR 系统最优参数;然后,根据任意频率的尺度变换关系式,推导出任意频率信号的SR 系统最优参数;最后,提出简单易行的SR 算法设计。仿真结果表明,本文所提方法无需任何迭代,就能够自适应地匹配信号和噪声的特征,具有很好的稳健性。
关 键 词: 通信技术;信号检测;自适应随机共振;双稳态系统
Title: Optimal parameter design of adaptive stochastic resonance system
Author: ZHANG Guoyong, WANG Jun, LI Shaoqian
Organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China
Abstract: In order to reduce the complexity of optimal matching parameter design of stochastic resonance (SR) system and guarantee the optimality, we propose an optimal parameter design method. Firstly, by exploiting the low frequency reference periodic signal frequency to match Kramers rate of transition and maximized signal-to-noise ratio (SNR), we obtain the optimal parameter of SR system with respect to the reference periodic signal. Then, the optimal parameter of SR system with respect to arbitrary frequency signal is derived based on its scale transformation. Lastly, SR algorithm design is easily obtained. The simulation results show that the proposed method does not need any iteration process and it is robust to adaptively match the characteristics of signal and noise.
Key words: communications technology; signal detection; adaptive stochastic resonance; bistable system
发表期数: 2017年11月第22期
引用格式: 张国勇,王军,李少谦. 自适应随机共振系统最佳参数设计[J]. 中国科技论文在线精品论文,2017,10(22):2532-2539.
 
2 评论数 0
暂无评论
友情链接