首页|期刊导航|中国光学(中英文)|基于同步累积法的舰船尾流微弱信号检测方法研究

基于同步累积法的舰船尾流微弱信号检测方法研究OA北大核心CSTPCD

Detection method of weak ship wake signals based on the synchronous accumulation method

中文摘要英文摘要

为适应复杂的动态变化的尾流气泡场环境,提高水下探测装置对舰船尾流微弱信号的探测信噪比与检出率,本文提出了一种基于同步累积法的舰船尾流微弱信号检测方法.利用周期信号的重复性与噪声的随机性,对连续多个周期信号做累积归一化处理,降低随机噪声对探测性能的干扰,提升探测信噪比.建立了针对舰船尾流微弱信号多时间尺度检测能力评估模型,评估本方法在多参量耦合下的探测性能.通过在室内水池、室外湖泊条件下开展大量模拟舰船尾流探测实验,验证了该方法适配稀疏微小的远场尾流气泡至高湍流扰动下的大尺度近场气泡检测.本文方法可实现全时域舰船尾流的跟踪检测,有效提升水下兵器的打击能力,为舰船尾流激光探测识别工程实践提供支撑.

In order to adapt to the complex dynamic changing wake bubble field environment,improve the detection signal-to-noise ratio and detection rate of the weak ship wake signals,and expand the detection range,a method of detecting weak ship wake signals based on the synchronous accumulation method is pro-posed.By taking advantage of the repeatability of periodic signals and the randomness of noise,cumulative normalization is performed on successive periodic signals,effectively improving the detection signal-to-noise ratio and reducing the interference of random noise on detection performance.In order to evaluate the detec-tion performance of the algorithm under multi-parameter coupling,a multi-time scale detection capability evaluation model for weak ship wake signals is established.By conducting many simulated ship wake detec-tion experiments in large indoor pools and typical outdoor lakes,it is verified that the algorithm is suitable for the detection of various bubbles from smaller ones in sparse and discrete tiny far-field wakes to larger near-field ones under high turbulence disturbance,thus realizing full-time ship wake tracking and detection.This can effectively improve underwater weapon strike capability.It can support ship wake laser detection and identification engineering practice.

宗思光;段子科;张鑫;余扬;王柏雄

海军工程大学电子工程学院,湖北武汉 430033海军工程大学电子工程学院,湖北武汉 430033海军航空大学青岛校区,山东青岛 266041武汉大学,湖北武汉 430070海军工程大学电子工程学院,湖北武汉 430033

电子信息工程

激光探测舰船尾流信号处理

laser detectionship wakesignal processing

《中国光学(中英文)》 2024 (6)

1272-1280,9

国防预研基金(No.2020-JCJQ-ZD-099-00-02)Supported by the National Defense Pre-Research Foundation of China(No.2020-JCJQ-ZD-099-00-02)

10.37188/CO.2024-0014

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