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Detection of Weak Signal in Laser Ranging Based on the Theory of Stochastic Resonance

机译:基于随机共振理论的激光测距弱信号检测

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A novel approach based on the theory of stochastic resonance (SR) for detecting weak signals in heavy noise for detecting distance information for laser ranging is presented in this paper. SR in a nonlinear system is a cooperative effect of noise and periodic signal driving in bi-stable systems. Under the proper condition, increasing input noise level results in an increase in the output signal-to-noise ratio (SNR), which means increasing the disorder of the input leads to increasing the order of the output. Driven by a periodic signal and a Gaussian white noise, stochastic resonance exists in the double-well potential system. This stochastic resonance phenomenon can greatly improve the SNR of a periodic signal with additive Gaussian white noise. In this paper the theoretical derivation for bi-stable system at the SR and the computer simulation have been given. Under the generic adiabatic approximation condition, a numerical simulation on such as the out SNR shows that the output SNR in heavy ground noise has been improved evidently. In laser ranging system, the SR theory was applied in electronic circuits and the out SNR improved obviously.
机译:本文介绍了一种基于随机共振理论的基于随机共振理论(SR)的新方法,用于检测用于检测激光测距的距离信息的弱信号。非线性系统中的SR是双稳态系统中噪声和周期信号驱动的协同效果。在适当的条件下,增加输入噪声水平导致输出信噪比(SNR)的增加,这意味着增加输入的疾病导致增加输出的顺序。由周期性信号和高斯白噪声驱动,在双井电位系统中存在随机共振。这种随机共振现象可以大大改善具有添加剂高斯白噪声的周期信号的SNR。本文在SR和计算机模拟中,给出了双稳态系统的理论推导。在通用绝热近似条件下,诸如OUT SNR的数值模拟表明,大力地噪声中的输出SNR显然已经提高。在激光测距系统中,SR理论应用于电子电路,并显着提高了SNR。

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