Application of Gabor analysis for detection, estimation and classification of underwater acoustic data

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers Pub Date : 1995-10-30 DOI:10.1109/ACSSC.1995.540612

S. Kadambe, R. Orr

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引用次数: 1

Abstract

The problem of detection of transient signals emitted by underwater objects and classification of these objects based on characteristics of transient signals, is addressed in this paper. Even though the detection of transient signals using an energy detector is one of the simplest ways, it is not an optimum detector when some information about the signal is known. However, the performance of the energy detector can be improved by using a detector based on Gabor analysis, since Gabor representation is inherently localized and thus more suitable for transient analysis. In this paper, a description of such a detector is given. In addition, an estimator which estimates signal parameters that are suitable for classification is described. These estimated signal parameters are then used to classify a given signal set. The classifier based on "multiple discriminant analysis" that is described in this paper, is used for this purpose. Finally, the performances of the detector, the estimator and the classifier are verified using underwater acoustic data. The experimental details and the results are also discussed.

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Gabor分析在水声数据检测、估计和分类中的应用

本文研究了水下目标发出的瞬态信号的检测问题以及基于瞬态信号特征的水下目标分类问题。尽管使用能量检测器检测瞬态信号是最简单的方法之一，但当信号的某些信息已知时，它并不是最佳的检测器。然而，使用基于Gabor分析的检测器可以提高能量检测器的性能，因为Gabor表示本身是局部的，因此更适合于瞬态分析。本文给出了这种检测器的描述。此外，还描述了一种估计器，用于估计适合分类的信号参数。然后使用这些估计的信号参数对给定的信号集进行分类。本文所描述的基于“多元判别分析”的分类器就是用于此目的。最后，利用水声数据对检测器、估计器和分类器的性能进行了验证。并对实验细节和结果进行了讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers

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