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基于欠采样随机共振的单频微弱信号检测新方法

石盛超 李广侠 李志强 冯少栋 张卫同

电讯技术Issue(5):605-610,6.
电讯技术Issue(5):605-610,6.DOI:10.3969/j.issn.1001-893x.2014.05.015

基于欠采样随机共振的单频微弱信号检测新方法

A Novel Weak Single Frequency Signal Detection Method Based on Under-Sampling Stochastic Resonance

石盛超 1李广侠 1李志强 1冯少栋 2张卫同1

作者信息

  • 1. 解放军理工大学 通信工程学院,南京210007
  • 2. 解放军96610部队,北京102208
  • 折叠

摘要

Abstract

Stochastic resonance is widely applied to detect weak signal in a strong noise background be-cause it can enhance the signal-to-noise ratio(SNR). A weak single frequency signal detection method based on under-sampling stochastic resonance is proposed to solve the problem that traditional stochastic resonance can be only applied to deal with small parameter signals. Stochastic resonance is successfully ex-panded into the applications of the large parameter signals on the basis of scale-transformation and retrieve technology in the under-sampling stochastic resonance. Moreover,the algorithm overcomes the limit that signal frequency must be more than 50 times of the sampling frequency in the second sample algorithm. The model of weak signal detection based on under-sampling stochastic resonance is put forward. Finally, detecting the weak single frequency signal under SNR=-27 dB background by the method proposed in this paper is simulated. The result proves the validity of the method. The sampling frequency in the method is much less than that in the traditional methods and this is helpful to apply stochastic resonance in improving the performance of the Costas loop.

关键词

深空通信/微弱信号检测/随机共振/欠采样/尺度变换

Key words

deep space communication/weak signal detection/stochastic resonance/under-sampling/scale transformation

分类

信息技术与安全科学

引用本文复制引用

石盛超,李广侠,李志强,冯少栋,张卫同..基于欠采样随机共振的单频微弱信号检测新方法[J].电讯技术,2014,(5):605-610,6.

基金项目

国家自然科学基金资助项目(61032004,91338201) (61032004,91338201)

国家高技术研究发展计划(863计划)项目(2012AA121605,2012AA01A503,2012AA01A510) (863计划)

电讯技术

OA北大核心CSTPCD

1001-893X

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