時空域聯(lián)合的水下未知線譜目標(biāo)檢測方法

王逸林; 馬世龍; 鄒男; 梁國龍

doi:10.11999/JEIT180796

時空域聯(lián)合的水下未知線譜目標(biāo)檢測方法

doi: 10.11999/JEIT180796 cstr: 32379.14.JEIT180796

1.
哈爾濱工程大學(xué)水聲技術(shù)重點實驗室? ?哈爾濱? ?150001
2.
哈爾濱工程大學(xué)水聲工程學(xué)院? ?哈爾濱? ?150001

基金項目: 國家重點研發(fā)計劃(2016YFC1400101)，國家自然科學(xué)基金(11504064)，黑龍江省歸國人員科學(xué)基金 (JJ2016LX0051)

詳細信息

作者簡介:
王逸林：男，1979年生，研究員，博士生導(dǎo)師，研究方向為水聲信號處理、水下聲信號被動探測等

馬世龍：男，1987年生，博士生，研究方向為陣列信號處理、水下目標(biāo)被動探測

鄒男：男，1986年生，講師，碩士生導(dǎo)師，研究方向為水聲信號處理、水下目標(biāo)被動探測等

梁國龍：男，1964年生，教授，博士生導(dǎo)師，研究方向為水聲信號處理、水下目標(biāo)被動探測等

通訊作者:
鄒男　zounan@hrbeu.edu.cn

中圖分類號: TB566
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-08-16
- 修回日期: 2019-02-26
- 網(wǎng)絡(luò)出版日期: 2019-03-23
- 刊出日期: 2019-07-01

Detection of Unknown Line-spectrum Underwater Target Using Space-time Processing

1.
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China
2.
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China

Funds: The National Key R&D Plan(2016YFC1400101), The National Natural Science Foundation of China (11504064), Heilongjiang Provience Scientific Research Foundation for Returned Scholars (JJ2016LX0051)

摘要

摘要: 水下線譜目標(biāo)被動檢測中，目標(biāo)輻射線譜信號的方位、頻率、個數(shù)等信息通常未知，且線譜檢測性能容易受到寬帶干擾及背景噪聲的影響。針對此問題，該文提出一種時空域聯(lián)合的未知線譜目標(biāo)檢測方法(STJD)。首先，利用線譜信號的相干特性，構(gòu)建了一種能夠自主匹配未知線譜信號的時空域聯(lián)合濾波器，用以濾除接收信號中的寬帶背景干擾及噪聲。之后，對濾波信號進行常規(guī)頻域波束形成得到空時2維波束輸出，其具有相對純凈的線譜譜峰。在此基礎(chǔ)上提取線譜并利用線譜信息計算空間方位譜，進而實現(xiàn)對線譜目標(biāo)的檢測。理論推導(dǎo)及仿真結(jié)果表明該文方法能夠?qū)ξ粗€譜信號進行最小均方誤差意義下的時空濾波，并能充分地利用線譜信息進行線譜目標(biāo)的被動檢測。與已有基于線譜特征的線譜目標(biāo)檢測方法相比，該文方法對信噪比(SNR)的要求較低，在多目標(biāo)、多線譜等復(fù)雜情況下具有較好的線譜目標(biāo)檢測性能。
- 陣列信號處理 /
- 線譜檢測 /
- 輻射噪聲 /
- 線譜增強器
Abstract: For the passive detection of underwater line-spectrum target, the information such as the azimuth, frequency and the number of the line-spectrum signals is usually unknown, and the line-spectrum detection performance is affected by broadband interferences and noise. For this issue, a Space-Time Joint Detecion (STJD) method of detecting the unknown line-spectrum target by space-time domain processing is proposed. Firstly, a space-time filter that autonomously matches the unknown line-spectrum signals is constructed to filter out the broadband interferences and noise. Secondly, the conventional frequency domain beamforming is performed on the filtered signals, and then a space-time two-dimensional beam output with relatively pure line-spectrum spectral peaks is obtained. The line-spectrum signals are extracted from the space-time two-dimensional beam output, and the spatial spectrum is calculated using the extracted line-spectrum information. Then, the detection of the line-spectrum target is realized. Theoretical derivation and simulation results verify that the proposed method performs the spatiotemporal filtering on the unknown line-spectrum signals in the minimum mean square error sense, and fully utilizes the line-spectrum information for the passive detection of underwater line-spectrum target. Compared with the existing line-spectrum target detection methods utilizing the line-spectrum features, the proposed method requires lower Signal to Noise Ratio (SNR), and has better detection performance under the complex multi-target multi-spectrum-line conditions.
- Array signal processing /
- Line spectrum detection /
- Radiation noise /
- Line spectrum enhancer

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圖 1 陣列接收信號示意圖

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圖 2 第$i $ 路時空2維線譜增強器結(jié)構(gòu)圖

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圖 3 時空域聯(lián)合的水下未知線譜目標(biāo)檢測方法框圖

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圖 4 時空濾波前后的方位頻率2維波束輸出

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圖 5 信噪比為–20 dB時各方法波束輸出

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圖 6 信噪比為–30 dB時各方法波束輸出

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圖 7 多目標(biāo)多線譜情況下各方法性能對比

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圖 8 不同SNR下的各方法ROC曲線

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