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| A Stochastic Resonance of Line-spectrum Extraction Method for Underwater Target Recognition |
| Nan Li, Xuikun Li |
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Abstract Because of development of noise reduction technology, the complexity
of the underwater acoustic channel and increasingly human
activities, passive acoustic detection of underwater target signal
is facing serious challenges, especially in the low signal to noise
ratio. In this paper, the method of combining the empirical mode
decomposition with stochastic resonance is applied to detect the
weak periodic signal. Firstly, empirical mode decomposition
algorithm is used to stationary handling of ship radiated noises.
Secondly, the basic mathematical model of stochastic resonance is
improved and then sub-band signal after decomposition and smoothing
is sent to the improved model of stochastic resonance. By changing
internal noise intensity and parameters of the stochastic resonance
system, stochastic resonance conditions are met. Finally, the weak
periodic signal is enhanced under the synergies of the system, the
signal and noise. The simulation results show that line spectrum
value of period signal is improved nearly 25 dB relative to the
background noise for actual underwater signal.
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| DOI:10.12733/jics20105262 |
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