By Topic

Detection in colored non-Gaussian noise using cumulants

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)
B. M. Sadler ; Army Res. Lab., Adelphi, MD, USA ; G. B. Giannakis

The authors consider detection in colored linear non-Gaussian noise of unknown covariance. Higher-order cumulants of non-Guassian processes are estimated in the presence of unknown deterministic and/or Gaussian signals. This allows either parametric or non-parametric estimation of the covariance of the non-Gaussian process via its cumulants. The approach to detection is to augment methods based on second-order statistics using cumulants. A solution is proposed for detection of deterministic signals based on matched filters which incorporate cumulants, where the resulting solutions are valid under either detection hypothesis. This allows for single record detection and obviates the need for prewhitening using noise-only training records. Detection of random Gaussian signals in non-Gaussian noise is also considered.<>

Published in:

Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on  (Volume:4 )

Date of Conference:

27-30 April 1993