Design of Stochastic Resonance Systems in Weak Signal Detection

YE Qing-hua; HUANG Hai-ning; ZHANG Chun-hua

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Design of Stochastic Resonance Systems in Weak Signal Detection

更新时间：2025-07-16

- Design of Stochastic Resonance Systems in Weak Signal Detection
- Acta Electronica Sinica Vol. 37, Issue 1, Pages: 216-220(2009)
- 作者机构：
  
  中国科学院声学研究所,北京,100190
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.23
- Published：2009
- 稿件说明：
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YE Qing-hua, HUANG Hai-ning, ZHANG Chun-hua. Design of Stochastic Resonance Systems in Weak Signal Detection[J]. Acta Electronica Sinica, 2009, 37(1): 216-220.
DOI：

YE Qing-hua, HUANG Hai-ning, ZHANG Chun-hua. Design of Stochastic Resonance Systems in Weak Signal Detection[J]. Acta Electronica Sinica, 2009, 37(1): 216-220. DOI：

摘要

随机共振(SR)作为一种能够利用噪声来提高系统输出信噪比的工具

近来得到越来越多的关注和研究.一个很大的问题是如何设计一个简单高效的SR系统.针对常见的微弱信号检测问题

我们分析了二值量化器和二值量化器阵列

推导出最优二值量化检测器和渐近最优阵列SR检测器

给出渐近最优阵列SR检测器的设计准则.根据理论分析结果

给出了鲁棒阵列SR检测器及基于噪声样本集合的参数选择算法

能够在未知背景噪声情形中获得较好的检测性能.

Abstract

Stochastic Resonance(SR)is getting more and more attention in recent few years

as it can be used as a tool of using noise to enhance output signal-to-noise-ratio.One of the key problems is how to design a simple and efficient SR system.As for the weak signal detection

we analyzed two-state quantizers and two-state quantizer arrays

deduced the optimal two-state quantization detector and asymptotic optimal array SR detector

and gave out the designing criterion of asymptotic optimal array SR detector.According to the theoretical analysis

we designed a robust array SR detector and parameter selection algorithm based on noise sample collection

which can achieve good detection performance even the ambient noise is unknown.

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