水下高速目标声谱图特征提取及分类设计

发布时间：2018-01-02 05:14

本文关键词：水下高速目标声谱图特征提取及分类设计　出处：《电子与信息学报》2017年11期 　论文类型：期刊论文

【摘要】：为了增加水下高速目标的识别特征维度,优化识别效果,该文设计了一种基于目标辐射噪声高速特征量(High Speed Characteristic Quantity,HSCQ)的分类方法。首先,针对水下高速目标辐射噪声的DEMON(Detection of Envelope Modulation On Noise)谱特征进行分析,根据DEMON谱的频率可分性,定义了DEMON谱调制分布比(Modulation Distribution Ratio,MDR)。然后,根据水下高速目标辐射噪声的功率谱历程图直纹特征,应用图像边缘检测、线谱生长等理论进行特征提取,并分析了功率谱历程图的直纹特征量(Straight-line Characteristic Quantity of Spectrum,SCQS)。最后,根据2种特征量的实测信号分析结果,定义了目标辐射噪声的HSCQ,实现了一种新的水下高速目标分类方法。实测信号分析结果显示,采用MDR或SCQS进行单特征量分类,非高速目标的误报率分别为21.4%和16.3%;采用HSCQ进行分类,非高速目标的误报率仅为4.1%。
[Abstract]:In order to increase the recognition speed characteristic dimension of underwater target recognition, optimization effect, this paper based on the design of a high speed target radiated noise characteristics (High Speed Characteristic Quantity, HSCQ) classification method. Firstly, aiming at the high speed underwater target radiation noise of DEMON (Detection of Envelope Modulation On Noise) spectral features were analyzed. According to the frequency of separability DEMON spectrum, DEMON spectrum modulation distribution than the definition (Modulation Distribution Ratio, MDR). Then, according to the power of high-speed underwater target radiated noise spectrum of straight line features, application of image edge detection, line growth theory for feature extraction, and analyzes the characteristics of ruled power spectrum Graphof (the Straight-line Characteristic Quantity of Spectrum, SCQS). Finally, according to the measured signal of the 2 eigenvalue analysis results, the definition of the target radiation noise of HSCQ implementation A new classification method for underwater high-speed targets is presented. The measured signal analysis results show that the false alarm rates of non high speed targets are 21.4% and 16.3% respectively by using MDR or SCQS, and the false positive rate of non high-speed targets is only 4.1%. when classified by HSCQ.

【作者单位】：海军潜艇学院;中国人民解放军31001部队;
【分类号】：TB56
【正文快照】： (2)(中国人民解放军31001部队北京100094)随着水下航行器技术的发展运用,水下航行器的航行速度、航行里程、航行深度、噪音控制等各方面显著提升,其水下高速状态航行对现代海运航行安全的威胁不可避免。针对水下高速航行器开展目标识别预警研究的重要性已经日益凸显。现有的水

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