By Topic

Parameter estimation of linear frequency modulated signals with missing observations

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

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)
R. Brcich ; Commun. & Signal Process. Group, Curtin Univ. of Technol., Perth, WA, Australia ; A. M. Zoubir

The effect of missing observations, caused by random sensor errors or periodic blocking of the signal, on the estimation of signal parameters is to reduce estimator performance. For the class of polynomial phase signals, existing estimators may suffer a severe degradation in performance depending on the location of the missing observations. Reasons for the drop in performance are determined and several estimators are proposed which behave well even with a large proportion of missing observations.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:6 )

Date of Conference:

6-10 April 2003