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水下高速目標(biāo)聲譜圖特征提取及分類(lèi)設(shè)計(jì)

王森 王余 王易川 李海濤

王森, 王余, 王易川, 李海濤. 水下高速目標(biāo)聲譜圖特征提取及分類(lèi)設(shè)計(jì)[J]. 電子與信息學(xué)報(bào), 2017, 39(11): 2684-2689. doi: 10.11999/JEIT170283
引用本文: 王森, 王余, 王易川, 李海濤. 水下高速目標(biāo)聲譜圖特征提取及分類(lèi)設(shè)計(jì)[J]. 電子與信息學(xué)報(bào), 2017, 39(11): 2684-2689. doi: 10.11999/JEIT170283
WANG Sen, WANG Yu, WANG Yichuan, LI Haitao. Feature Extraction and Classification of Spectrum of Radiated Noise of Underwater High Speed Vehicle[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2684-2689. doi: 10.11999/JEIT170283
Citation: WANG Sen, WANG Yu, WANG Yichuan, LI Haitao. Feature Extraction and Classification of Spectrum of Radiated Noise of Underwater High Speed Vehicle[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2684-2689. doi: 10.11999/JEIT170283

水下高速目標(biāo)聲譜圖特征提取及分類(lèi)設(shè)計(jì)

doi: 10.11999/JEIT170283

Feature Extraction and Classification of Spectrum of Radiated Noise of Underwater High Speed Vehicle

  • 摘要: 為了增加水下高速目標(biāo)的識(shí)別特征維度,優(yōu)化識(shí)別效果,該文設(shè)計(jì)了一種基于目標(biāo)輻射噪聲高速特征量(High Speed Characteristic Quantity, HSCQ)的分類(lèi)方法。首先,針對(duì)水下高速目標(biāo)輻射噪聲的DEMON(Detection of Envelope Modulation On Noise)譜特征進(jìn)行分析,根據(jù)DEMON譜的頻率可分性,定義了DEMON譜調(diào)制分布比(Modulation Distribution Ratio, MDR)。然后,根據(jù)水下高速目標(biāo)輻射噪聲的功率譜歷程圖直紋特征,應(yīng)用圖像邊緣檢測(cè)、線譜生長(zhǎng)等理論進(jìn)行特征提取,并分析了功率譜歷程圖的直紋特征量(Straight-line Characteristic Quantity of Spectrum, SCQS)。最后,根據(jù)2種特征量的實(shí)測(cè)信號(hào)分析結(jié)果,定義了目標(biāo)輻射噪聲的HSCQ,實(shí)現(xiàn)了一種新的水下高速目標(biāo)分類(lèi)方法。實(shí)測(cè)信號(hào)分析結(jié)果顯示,采用MDR或SCQS進(jìn)行單特征量分類(lèi),非高速目標(biāo)的誤報(bào)率分別為21.4%和16.3%;采用HSCQ進(jìn)行分類(lèi),非高速目標(biāo)的誤報(bào)率僅為4.1%。
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出版歷程
  • 收稿日期:  2017-04-01
  • 修回日期:  2017-08-25
  • 刊出日期:  2017-11-19

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