Weak Signal Recovery Based on Power Function Stochastic Resonance

HE Li-fang; CAO Li; ZHANG Gang; YI Tian

doi:10.3969/j.issn.0372-2112.2018.08.015

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Weak Signal Recovery Based on Power Function Stochastic Resonance

更新时间：2025-07-16

- Weak Signal Recovery Based on Power Function Stochastic Resonance
- Acta Electronica Sinica Vol. 46, Issue 8, Pages: 1906-1914(2018)
- 作者机构：
  
  重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61771085, No.61671095, No.61371164);Construction Project of Chongqing Municipal Key Laboratory of Signal and Information Processing (No.CSTC2009CA2003);Research Project of Chongqing Municipal Education Commission (No.KJ1600427, No.KJ1600429)
- DOI：10.3969/j.issn.0372-2112.2018.08.015
  CLC： TN911.23
- Published Online：25 August 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
HE Li-fang, CAO Li, ZHANG Gang, et al. Weak Signal Recovery Based on Power Function Stochastic Resonance[J]. Acta Electronica Sinica, 2018, 46(8): 1906-1914.
DOI：

HE Li-fang, CAO Li, ZHANG Gang, et al. Weak Signal Recovery Based on Power Function Stochastic Resonance[J]. Acta Electronica Sinica, 2018, 46(8): 1906-1914. DOI： 10.3969/j.issn.0372-2112.2018.08.015.

摘要

针对微弱信号淹没在强噪声中难以恢复的问题，提出幂函数恢复系统实现信号还原.采用互相关系数为测量指标，研究不同参数、噪声强度以及信号幅度对恢复性能的影响.并利用粒子群算法寻优参数，在采样点数较少情况下，实现单频、多频正弦信号以及单脉冲信号的恢复，结果表明理论分析与实际仿真结果一致，证明所提幂函数恢复系统有效可行，恢复效果理想.

Abstract

Aiming at the fact that the output signal is difficult to recover in the strong noise background

to solve this problem

power function recovery system is proposed to realize the signal restoration in this paper.The influence of different parameters and noise intensity as well as signal amplitude on the recovery performance are studied by using the mutual correlation coefficient as the measurement index.Power function recovery system achieves single-frequency sinusoidal signal and multi-frequency sinusoidal signal as well as single pulse signal recovery in the case of fewer sampling points and optimize parameters are opted with the particle swarm algorithm.Simulation results show that the theoretical analysis results are consistent with the simulations

which proves the proposed method is feasible and effective

and the achieved recovery effect is ideal.

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