水下无人系统学报2026，Vol.34Issue(1)：29-36,8.DOI:10.11993/j.issn.2096-3920.2025-0079
舰船轴频电场弱信号高增益检测方法
High-Sensitivity Detection Method for Weak Signals of Vessel Shaft-Rate Electric Field
摘要
Abstract
There are weak signals in shaft-rate electric fields from vessels,and they are easily masked by noise.To address these issues,this paper proposed a comprehensive high-gain weak signal detection method guided by the priority detection and selective enhancement principle.First,complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)was combined with narrowband power spectrum energy peak entropy ratio(EPER)features.Then,sliding window and dynamic threshold techniques were used to detect the target signal.After successful detection,the proposed method triggered a tri-stable stochastic resonance and variable step-size least mean p-norm(VSS-LMP)enhancement mechanism to further enhance the spectral characteristics of the target signal,thereby enabling the extraction of the target signal's characteristic frequency.Simulation results show that the proposed method achieves a detection accuracy rate exceeding 85%under a signal-to-noise ratio of-12 dB,with a false detection rate below 30%,and it can accurately extract the target signal's characteristic frequency,providing a feasible technical approach for real-time monitoring of weak electric field signals from vessels.关键词
舰船/轴频电场/弱信号检测/最小平均p范数/能量峰值熵比Key words
vessel/shaft-rate electric field/weak signal detection/least mean p-norm/energy peak entropy ratio分类
军事科技引用本文复制引用
余平洋,王宏磊,杨益新..舰船轴频电场弱信号高增益检测方法[J].水下无人系统学报,2026,34(1):29-36,8.基金项目
国家自然科学基金联合基金重点支持项目资助(U2341201) （U2341201）
国家自然科学基金面上项目资助(52271350) （52271350）
基础产品创新科研项目资助(14520208040). （14520208040）
