Target detection in shallow-water reverberation based on parameter-induced stochastic resonance

Abstract

A 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).

Advanced Applications for Underwater Acoustic Modeling

“…Three components are necessary: a threshold, a periodic signal and a source of noise. The response of the system undergoes resonance-like behavior as the noise level is varied [145]. Stochastic resonance was applied to enhance the detection of target signals masked by shallowwater reverberation [146].…”

Evaluation of the method based on PSR techniques for target detection in reverberation

“…To utilize the PSR techniques, the SR system is inserted before the LCD [23]. First, the spatial component of the received signals r the signal at each sensor is delayed with τ x = (L cos θ − kλ)x/(Lc) in the time domain to lower its spatial frequency:…”

“…In the previous paper [23], we have proposed the method based on PSR techniques for this problem, and only the Rayleigh reverberation was considered. Therefore, we wonder how better the performance of this method is compared to the conventional receiver (a spatial matched filter followed by a LCD) when the reverberation envelope deviates from the Rayleigh distribution.…”

Over exposed image information recovery via stochastic resonance

“…[5] There are other applications of SR to the field of signal processing [7,8] and target detection. [9] Image processing is an extremely hot research area in modern science. [10−13] Some work has already been done to reduce noise level and enhance the signal-to-noise ratio (SNR) of images using parameterinduced stochastic resonance.…”