Separation of passive sonar target signals using frequency domain independent component analysis

被引：2

作者：

Lee, Hojae ^{[1
]}

Seo, Iksu ^{[1
]}

Bae, Keunsung ^{[1
]}

机构：

[1] Kyungpook Natl Univ, Sch Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea

来源：

JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA | 2016年 / 35卷 / 02期

关键词：

Passive sonar; Separation of target signals; Independent component anlaysis; Independent vector analysis;

D O I：

10.7776/ASK.2016.35.2.110

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Passive sonar systems detect and classify the target by analyzing the radiated noises from vessels. If multiple noise sources exist within the sonar detection range, it gets difficult to classify each noise source because mixture of noise sources are observed. To overcome this problem, a beamforming technique is used to separate noise sources spatially though it has various limitations. In this paper, we propose a new method that uses a FDICA (Frequency Domain Independent Component Analysis) to separate noise sources from the mixture. For experiments, each noise source signal was synthesized by considering the features such as machinery tonal components and propeller tonal components. And the results of before and after separation were compared by using LOFAR (Low Frequency Analysis and Recording), DEMON (Detection Envelope Modulation On Noise) analysis.

引用

页码：110 / 117

页数：8

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