Stochastic resonance for underwater VLF weak signal detection under lévy noise background

Shilei Ma, Haiyan Wang, Xiaohong Shen, Haitao Dong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, the second-order stochastic resonance (SR) system with Levy noise is analyzed, and the improved numerical method is proposed to obtain the output signal sequence after the SR system. Then the matched stochastic resonance (MSR) system is investigated and derived to produce a stable SR phenomenon in Levy noise circumstance. The matched performance is then evaluated which reflected the efficiency for arbitrary frequencies. And it seems achieve a better enhancing performance in the very low frequency band (0.01-100Hz), which is considered as the ship seismic signal. Moreover, the simulation results of the frequency detection verify the effectiveness of the MSR system. It is extremely helpful to detect the underwater very low frequency (VLF) weak signal under the strong background noise of the complex marine environment.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538631409
DOIs
StatePublished - 29 Dec 2017
Event7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017 - Xiamen, Fujian, China
Duration: 22 Oct 201725 Oct 2017

Publication series

Name2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
Volume2017-January

Conference

Conference7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
Country/TerritoryChina
CityXiamen, Fujian
Period22/10/1725/10/17

Keywords

  • Levy noise
  • stochastic resonance
  • underwater weak signal
  • very low frequency

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