Title :
Wide-band, proportional-bandwidth Wigner-Ville analysis
Author :
Altes, Richard A.
Author_Institution :
Chirp Corp., La Jolla, CA, USA
fDate :
6/1/1990 12:00:00 AM
Abstract :
The Wigner-Ville (W-V) distribution is a time-frequency representation that yields a highly accurate estimate of instantaneous frequency. It is related to the narrow-band ambiguity function by an internal transform, and it can be used in a variety of detection and estimation problems. A spectrogram constructed with constant bandwidth filters can be obtained by convolving two W-V distributions or by forming a magnitude-squared narrow-band cross-ambiguity function. The wide-band ambiguity function represents the Doppler effect with dilation or compression rather than with frequency shift as in the narrow-band approximation. The Q distributions, a modified W-V representation that is related to the wide-band ambiguity function by an integral transform, is defined. A spectrogram constructed with proportional-bandwidth or constant-Q filters can be obtained by a convolution-like operation involving two Q distributions or by forming a magnitude-squared wide-band cross-ambiguity function. The Q distribution is thus a wide-band version of the W-V distribution. Properties of the Q distribution indicate that it may prove useful for detection and parameter estimation as well as for tomographic measurement of wideband scattering functions with relatively few transmitted waveforms
Keywords :
filtering and prediction theory; integral equations; parameter estimation; signal detection; Doppler effect; Q distributions; Wigner-Ville analysis; constant bandwidth filters; constant-Q filters; convolution-like operation; correlation statistic; cross-ambiguity function; instantaneous frequency estimation; internal transform; parameter estimation; proportional-bandwidth; time-frequency representation; tomographic measurement; wide-band ambiguity function; wideband scattering functions; Bandwidth; Doppler effect; Filters; Frequency estimation; Narrowband; Parameter estimation; Spectrogram; Time frequency analysis; Wideband; Yield estimation;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on