水下高速目标声谱图特征提取及分类设计

doi:10.11999/JEIT170283

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Abstract In order to improve the result of underwater high speed vehicle classification, a classification method that is based on High Speed Characteristic Quantity (HSCQ) of vehicle radiated noise is designed. Firstly, analysis of Detection of Envelope Modulation On Noise (DEMON) spectrum of actual measured radiated noise is finished. The Modulation Distribution Ratio (MDR) of radiated noise is defined based on the separability of modulation frequency of DEMON spectrum. Then the spectrograms feature analysis and feature extraction of underwater high speed radiated noise are done based on image edge detection and edge growing. The Straight-line Characteristic Quantity of Spectrum (SCQS) of vehicle radiated noise is analyzed. Finally, considering the analysis results of two types of characteristic quantity, a new classification method of underwater high speed vehicle is realized and HSCQ of vehicle radiated noise is designed. The actual measured radiated noise analysis shows that, the false alarm rate of non-high speed vehicle is respectively 21.4% (only using MDR), 16.3% (only using SCQS), and 4.1% (using HSCQ).

Key words： Underwater high speed vehicle Spectrum of radiated noise Modulation Distribution Ratio (MDR) Straight-line Characteristic Quantity (SCQ)

Received: 01 April 2017 Published: 14 September 2017

PACS:

TB56

Corresponding Authors: WANG Sen E-mail: wangsen0828@163.com

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	WANG Sen
	WANG Yu
	WANG Yichuan
	LI Haitao

Cite this article:

WANG Sen,WANG Yu,WANG Yichuan等. Feature Extraction and Classification of Spectrum of Radiated Noise of Underwater High Speed Vehicle[J]. JEIT, 2017, 39(11): 2684-2689.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT170283 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I11/2684

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