摘要
针对飞行数据记录器水下搜探中的微弱信标信号检测问题,本文提出了一种基于稳态跃变分布的信标信号随机共振检测方法。通过选取合理的混频器载波频率和非线性系统参数,实现了水下声信标信号这类高频窄脉宽信号的随机共振。引入势垒高度变换系数,通过研究非线性系统输出波形的稳态跃变分布特性,构建了检测统计量即稳态跃变适配次数。该方法可实现微弱信标信号的随机共振检测,调整势垒高度变换系数可使输出时域波形的稳态跃变分布产生变化,减少虚警。通过仿真及湖上试验表明:该方法检测性能优于频域能量检测方法。
To address the weak beacon signal detection of flight data recorders in underwater search tasks,a method for stochastic resonance detection of beacon signals based on steady-state transition distribution was proposed.The acoustic beacon signal has the merits of high frequency and short duration.By selecting reasonable mixer carrier frequencies and nonlinear system parameters,the stochastic resonance of the underwater beacon signals was realized.Furthermore,the transformation coefficient of barrier height was introduced in the study of the stability-jump distribution characteristics of the nonlinear system output waveform.A method of detection statistic,namely,the matched stability-jump times,was constructed.It can realize the stochastic resonance detection of weak acoustic beacon signals.Adjusting the transformation coefficient of barrier height can alter the steady-state jump distribution of the waveforms in the output time domain and decrease false alarms.Simulations and lake experiments showed better detection performance than the frequency domain energy detection method.
作者
万光明
梁国龙
王晋晋
董文峰
WAN Guangming;LIANG Guolong;WANG Jinjin;DONG Wenfeng(College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001,China;National Key Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001,China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2023年第9期1605-1612,共8页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(62101153).
关键词
飞行数据记录器
水下定位信标
黑匣子
随机共振
微弱信号检测
势垒高度
非线性系统
检测统计量
flight data recorder
underwater location beacon
black box
stochastic resonance
weak signal detection
barrier height
nonlinear system
detection statistic