APPLICATIONS OF PARAMETRIC AND NON-PARAMETRIC SPECTRAL ESTIMATION TECHNIQUES TO PASSIVE SONAR DATA.

被引：0
|
作者：
Gray, Douglas A. [1 ]
机构：
[1] Defence Research Cent Salisbury,, Signal Processing &, Classification Group, Adelaide, Aust, Defence Research Cent Salisbury, Signal Processing & Classification Group, Adelaide, Aust
来源：
Journal of Electrical and Electronics Engineering, Australia | 1985年 / 5卷 / 02期
关键词：
ACOUSTIC RECEIVERS - MATHEMATICAL TRANSFORMATIONS - Fast Fourier Transforms - NOISE; ACOUSTIC - Spectrum Analysis;
D O I：
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中图分类号：
学科分类号：
摘要：
Methods of detection, classification, localisation and tracking using sonar data rely heavily on the use of Fourier techniques. Examples of non-parametric methods for estimating the power spectrum of single hydrophone data in both stationary and non-stationary environments are given. Some improvements resulting from the use of parametric methods (e. g. , maximum entropy) are presented. The role of the cross-power spectral matrix of receiver outputs from hydrophone arrays in estimating the power spectrum as a function of angle or wavenumber is discussed. Use of the cross-power spectral matrix and a spatial covariance function derived from it allows the application of parametric methods (e. g. , maximum likelihood or maximum entropy) to the analysis of data from arrays of receivers.
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页码：112 / 119
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