Reconstruction of weak pulse signals based on 3D DSM Fabry-Perot cavity stochastic resonance

基于3D DSM法布里-珀罗腔的随机共振微弱脉冲信号重构

¹ Xi'an Institute of Optics and Precision Mechanics, Xi'an 710119, China
² University of Chinese Academy of Sciences, Beijing 100084, China
³ Xi'an Flight Automatic Control Research Institute, Xi'an 710065, China

Received: 9 May 2024

Abstract

In this paper, two stochastic resonance systems for reconstructing noise-containing pulse signals are designed based on Fabry-Perot cavity with 3D DSM. The effects of different parameters in two stochastic resonance systems on bistability are analysed, the cross-correlation coefficient and cross-correlation gain between the original input signal, the input signal, and the output signal are calculated as a means of evaluating their signal reconstruction performance. The results show that their maximum cross-correlation gains reach 3.2 and 3, respectively, both stochastic resonance systems can effectively reconstruct noisy pulse signals. By comparing the simulation data of the two systems, it is known that the stochastic resonance system using photonic crystals can effectively reduce the need for pulse signal strength and noise intensity. This study provides an effective means of detecting weak pulse signals.

摘要

基于含有3D DSM的法布里-珀罗腔, 设计了2种用于重构含噪脉冲信号的随机共振系统。分析了2个随机共振系统中不同参数对双稳态的影响, 计算了原始输入信号、输入信号和输出信号的互相关系数与互相关增益, 以此来评估其信号重构性能。结果表明2种随机共振系统的最高互相关增益分别达到了3.2和3, 2种随机共振系统均可有效重构含噪脉冲信号。通过比对二者仿真数据得知, 使用光子晶体的随机共振系统可以有效降低对脉冲信号强度及噪声强度的需求。这为检测微弱脉冲信号提供了一种有效手段。