Underwater Parallel Bistable Stochastic Resonance Network: A Physical Layer Perspective

Abstract

Underwater acoustic signals can suffer performance loss at low signal-to-noise ratios (SNR). An array is usually used to enhance processing performance. However, some of the underwater sensors may be floating. In such cases, inaccurate phase calibration can lead conventional array processing to fail. In this paper, we design an underwater bistable network. Bistable systems have the Stochastic Resonance(SR) property, and a bistable network can enhance the SR property, which can improve system performance in low SNR. And in such systems we do not need to calibrate the phase. We give the output SNR in theory and simulation to show its performance. Illustrative results show the performance of the proposed bistable network.