首页|基于单矢量水听器的水中目标高分辨线谱增强方法

基于单矢量水听器的水中目标高分辨线谱增强方法

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微弱信号检测一直是被动声呐系统远程探测面临的技术挑战.为了解决水下微弱信号条件下,即低信噪比(SNR)情况下,目标线谱检测难点问题,本文基于单矢量水听器信号接收,提出一种水下目标声压振速频域解卷积联合(CPVD)处理方法,可以实现线谱增强以及提高频域分辨率.采用单矢量水听器接收,保证声呐系统体积小,同时利用其具有指向性这一特点,可以抑制噪声,提高信号增益.在此基础上,通过CPVD算法对水中微弱信号进行线谱增强,实现有效检测.本文提出的方法克服了一些增强算法以及功率谱分析算法需要一定的先验知识以及频域线谱分辨率较低的缺点,从仿真分析和海试数据处理结果可以看出:本文所提出的基于单矢量水听器的水下目标线谱增强算法在低SNR条件下提高频率分辨率方面具有优势,为被动声呐系统微弱信号下的线谱检测提供有效算法.
High resolution line spectrum enhancement method of underwater target based on single vector hydrophone
Weak signal detection has always been a technical challenge for remote detection of passive sonar systems.In order to solve the difficult problem of target line spectrum detection under the condition of weak underwater signal,that is,under the condition of low signal-to-noise ratio (SNR ),based on the single vector hydrophone signal reception,a processing method of combining underwater target acoustic pressure with vibration velocity deconvolution(CPVD)in frequency domain is proposed ,which can achieve line spectrum enhancement and improve frequency domain resolution.Single vector hydrophone is used to ensure the small volume of sonar system.At the same time,its directivity can suppress noise and improve signal gain.On this basis,the CSD algorithm is used to enhance the line spectrum of weak signals in water to achieve effective detection.The proposed method overcomes the shortcomings of some enhancement algorithms and power spectrum analysis algorithms that require some prior knowledge and low frequency domain line spectrum resolution.From the simulation analysis and sea trial data processing results,the proposed underwater target line spectrum enhancement algorithm based on single vector hydrophone has advantages in improving frequency resolution under low SNR,an effective algorithm for line spectrum detection of weak signals is provided in passive sonar systems.

weak signal detectionsingle vector hydrophoneline spectrum enhancement

李运赫、董金鑫

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中国人民解放军92337部队,辽宁大连116087

微弱信号检测 单矢量水听器 线谱增强

2024

传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
年,卷(期):2024.43(6)
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