Huiquan Zhang et al 2008 J. Phys. A: Math. Theor. 41 105003 doi:10.1088/1751-8113/41/10/105003
Target detection in shallow-water reverberation based on parameter-induced stochastic resonance
Huiquan Zhang1, Bohou Xu1, Zhong-Ping Jiang2 and Xingxing Wu2
Show affiliationsA method based on parameter-induced stochastic resonance (PSR) is proposed for the target echo detection in the presence of shallow-water reverberation. The signals received by the horizontal sensor array are first preprocessed to form the input to a bistable stochastic resonance (SR) system. The detection decision is then made by a linear correlation detector based on the output of this SR system. The performance of our proposed detection system, in terms of deflections, is derived based on the solutions to the corresponding Fokker–Planck equations (FPE). Using PSR-based techniques, the detection performance can be optimized by tuning the system parameters properly. In addition, numerical simulations are carried out to demonstrate the efficiency and detection performance of our proposed detection system with receiver operating characteristic (ROC) curves, and the results show that it has good performance under the condition of the weak signal-to-reverberation-noise ratio (SRR).
- PACS
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43.30.Gv Backscattering, echoes, and reverberation in water due to combinations of boundaries
43.60.Bf Acoustic signal detection and classification, applications to control systems
05.10.Gg Stochastic analysis methods (Fokker-Planck, Langevin, etc.)
- MSC
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76Q05 Hydro- and aero-acoustics
82C31 Stochastic methods (Fokker-Planck, Langevin, etc.) (See also 60H10)
- Subjects
- Dates
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Issue 10 (14 March 2008)
Received 2 November 2007, in final form 26 January 2008
Published 26 February 2008
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Target detection in shallow-water reverberation based on parameter-induced stochastic resonance
Huiquan Zhang et al 2008 J. Phys. A: Math. Theor. 41 105003
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