Title :
A Wigner based t-ω semblance function for underwater acoustic signal processing
Author_Institution :
US Naval Coastal Syst. Center, Panama City, FL, USA
Abstract :
A time evolving spectral pseudosemblance, or coherency, function is proposed. The function relies on auto- and cross-Wigner distribution analysis where the expectation of the Wigner distribution is shown to be equal to the instantaneous power spectral density of a nonstationary signal. Signal returns are modeled as the output of a time-variant random filter through which the time-evolutionary nature of the function is shown to offer a natural extension to the magnitude squared coherency function for stationary signals
Keywords :
acoustic signal processing; filtering and prediction theory; sonar; underwater sound; Wigner based t-ω semblance function; auto-Wigner distribution analysis; coherency function; cross-Wigner distribution analysis; sonar; time evolving spectral pseudosemblance function; time-frequency analysis; time-variant random filter; underwater acoustic signal processing; Acoustic propagation; Acoustic scattering; Acoustic signal processing; Delay effects; Filters; Frequency domain analysis; Frequency estimation; Signal processing; Time frequency analysis; Underwater acoustics;
Conference_Titel :
Southeastcon '90. Proceedings., IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/SECON.1990.117913