By Topic

Adaptive detection of CPFSK signals in non-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
$31 $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

3 Author(s)
Zeghlache, D. ; Dept. of Electr. Eng., Cleveland State Univ., OH, USA ; Soliman, S.S. ; Schucany, W.R.

Adaptive detection of CPFSK (continuous phase frequency shift keying) signals corrupted by class-A impulse noise is presented. The EM algorithm (E for expectation, M for maximize) is used to estimate the noise characteristics. Performance of the EM algorithm and the adaptive detector are reported. The results show that the adaptive detector performs very close to optimal for reasonable sample sizes and well-separated components. Even when the sample size is reduced and the components are close together, the performance of the adaptive detector is still very acceptable despite the degradation. The EM algorithm is not restricted to class-A noise.<>

Published in:

System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on

Date of Conference:

0-0 1988