
Accession Number : ADA321559
Title : Stability Measures for Spectral Analysis Using Discrete Sampling with the KaiserBessel or DolphChebyshev Window.
Descriptive Note : Final rept.,
Corporate Author : NAVAL UNDERSEA WARFARE CENTER NEWPORT DIV RI
Personal Author(s) : Nuttall, Albert H. ; Hall, Jeffrey S. ; Sanchis, John V.
PDF Url : ADA321559
Report Date : 13 SEP 1996
Pagination or Media Count : 34
Abstract : Spectral estimation in sonar systems is usually performed by the classic weighted, overlap method. With this technique, the data to be analyzed are divided into overlapping sections. Each section is then weighted multiplicatively before it is fast Fourier transformed to the frequency domain. Next, all these magnitudesquared spectral estimates are averaged to produce the final estimate. As with all estimation techniques, the ratio of the mean to the standard deviation of the estimator should be as large as possible, which will ensure that a good spectral estimate 'on the average' is obtained. In this report, an expression is derived for this important ratio called stability, which de ends on only three quantities: the total number of data points T, the size of each section N, and the autocorrelation phiw(m) of the discrete weighting function w(n). The optimum overlap that maximizes stability for different values of T and N and for two commonly used windows (namely, KaiserBessel and DolphChebyshev) is computed. It is found that an overlap of 50 percent yields almost the same amount of stability as the optimal overlap for a wide variety of values of T, N, and w(n).
Descriptors : *POWER SPECTRA, *SONAR, DATA BASES, STABILITY, WEIGHTING FUNCTIONS, SONAR SOUND ANALYZERS, SAMPLING, FAST FOURIER TRANSFORMS, OVERLAP, CORRELATION TECHNIQUES, SPECTRUM ANALYSIS, FREQUENCY DOMAIN, SIDELOBES, FOURIER ANALYSIS.
Subject Categories : Acoustic Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE