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基于随机共振的强噪背景下船舶辐射噪声检测

杨文忠 张贤亮 谢晶

指挥控制与仿真2018,Vol.40Issue(3):98-103,6.
指挥控制与仿真2018,Vol.40Issue(3):98-103,6.DOI:10.3969/j.issn.1673-3819.2018.03.021

基于随机共振的强噪背景下船舶辐射噪声检测

Detection of Ship Radiated Noise in Strong Noise Background Based on Stochastic Resonance

杨文忠 1张贤亮 1谢晶2

作者信息

  • 1. 江苏科技大学电子信息学院,江苏 镇江 212003
  • 2. 武汉设计工程学院,湖北 武汉 430205
  • 折叠

摘要

Abstract

With the modern ship radiation noise spectrum significantly reduced, the intensity of the underwater acoustic sig-nal received by the passive sonar is correspondingly reduced. In the case of distant sea, the actual received signal to noise ra-tio is very low. The conventional linear detection method can achieve good detection effect under the condition of high signal-to-noise ratio. However, when the signal-to-noise ratio is very low, the target signal is almost completely submerged by strong noise, and the detection effect is extremely poor, greatly reducing the detection probability. In this paper, the bistable Stochastic Resonance of the nonlinear processing method is used to detect the underwater acoustic signal. The experimental results show that the proposed method can detect the target signal with low SNR (-20 or even-30dB) Method, which can break the shackles of very low SNR, and has a good application prospect and research value.

关键词

船舶辐射噪声/双稳态随机共振/强背景噪声/功率谱估计

Key words

ship radiated noise/bistable stochastic resonance/strong background noise/power spectrum estimation

分类

交通工程

引用本文复制引用

杨文忠,张贤亮,谢晶..基于随机共振的强噪背景下船舶辐射噪声检测[J].指挥控制与仿真,2018,40(3):98-103,6.

基金项目

国家自然科学基金(11574120,U1636117) (11574120,U1636117)

江苏省自然科学基金(BK20161359) (BK20161359)

指挥控制与仿真

OACSTPCD

1673-3819

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