Application of stochastic resonance in target detection in shallow-water reverberation
In the processing of sea-bottom echo signal, the total received noise is approximated to Lorentzian form according to its vertical coherence. Then a method based on parameter-induced stochastic resonance (PSR) is presented. By means of tuning system parameters, numerical simulation shows that PSR me...
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| Veröffentlicht in: | Journal of sound and vibration 2007-06, Vol.303 (1), p.255-263 |
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| container_title | Journal of sound and vibration |
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| creator | Xu, Bohou Zeng, Lingzao Li, Jianlong |
| description | In the processing of sea-bottom echo signal, the total received noise is approximated to Lorentzian form according to its vertical coherence. Then a method based on parameter-induced stochastic resonance (PSR) is presented. By means of tuning system parameters, numerical simulation shows that PSR method can effectively recover the spatial signal interfered by Gaussian noise. It also shows that PSR method has well applicability when processing spatial signal interfered by K-distributed envelope noise. |
| doi_str_mv | 10.1016/j.jsv.2007.01.015 |
| format | Article |
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| ispartof | Journal of sound and vibration, 2007-06, Vol.303 (1), p.255-263 |
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| language | eng |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Acoustics Exact sciences and technology Fundamental areas of phenomenology (including applications) Physics Underwater sound |
| title | Application of stochastic resonance in target detection in shallow-water reverberation |
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