By Topic

Detection and estimation of transient signals in coloured Gaussian noise

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
P. Nicolas ; Saclant ASW Res. Centre, La Spezia, Italy ; D. Kraus

The authors present an adaptive method to detect transient signals of unknown waveform in colored Gaussian noise. The signal is modeled as the impulse response of a rational transfer function. After a prewhitening of the observed signal, the order of the rational transfer function is estimated by a method based on the covariance matrix perturbation and the coefficients by a maximum-likelihood estimator with constraint. The detection of the signal is performed by means of the generalized likelihood ratio test. The method is compared to an adaptive detection scheme using an autoregressive (AR) model of the signal and to the conventional energy detector. Theoretical detection probabilities are compared to the experimental ones obtained by Monte Carlo simulations

Published in:

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Date of Conference:

11-14 Apr 1988