Effects of underdamped step-varying second-order stochastic resonance for weak signal detection
Effects of underdamped step-varying second-order stochastic resonance for weak signal detection
复制标题
欠阻尼阶跃二阶随机共振对弱信号检测的影响
DOI：
10.1016/j.dsp.2014.09.014
复制
发表时间：
2015-01-01
影响因子：
2.9
通讯作者：
Kong, Fanrang
中科院分区：
文献类型：
--
作者：
Lu, Siliang;He, Qingbo;Kong, Fanrang
随机共振是微弱信号检测的一种有效方法。本文提出了一种欠阻尼阶跃二阶随机共振（USSSR）方法，以进一步提高输出信噪比（SNR）。该方法通过选择适当的欠阻尼阻尼因子和计算步长，使弱周期信号、噪声和势在二阶随机共振区域内相互匹配，生成最优动力系统。该方法具有三个显著的优点：1）二次滤波效果产生低噪声输出波形; 2）良好的带通滤波效果衰减了位于高频和（或）低频域的多尺度噪声; 3）在检测淹没在强背景噪声中的微弱信号时具有良好的抗噪能力。数值分析和应用验证证实了所提出的方法的有效性和效率相比，传统的SR方法。(C)2014爱思唯尔公司All rights reserved.
Stochastic resonance (SR) has been proved to be an effective approch for weak signal detection. In this paper, an underdamped step-varying second-order SR (USSSR) method is proposed to further improve the output signal-to-noise ratio (SNR). In the method, by selecting a proper underdamped damping factor and a proper calculation step, the weak periodic signal, the noise and the potential can be matched with each other in the regime of second-order SR to generate an optimal dynamical system. The proposed method has three distinct merits as: 1) secondary filtering effect produces a low-noise output waveform; 2) good band-pass filtering effect attenuates the multiscale noise that locates in high- and (or) low-frequency domains; and 3) good anti-noise capability in detecting weak signal being submerged in heavy background noise. Numerical analysis and application verification are performed to confirm the effectiveness and efficiency of the proposed method in comparison with a traditional SR method. (C) 2014 Elsevier Inc. All rights reserved.