By Topic

Maximum likelihood angle estimation for signals with known waveforms

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

2 Author(s)
Jian Li ; Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA ; Compton, R.T., Jr.

Maximum-likelihood estimation (MLE) of the arrival angles of narrowband plane waves when one or all signals have known waveforms is considered. Computationally efficient and rapidly converging algorithms that iteratively maximize the likelihood functions are presented. Cramer-Rao bounds for these estimators are obtained. The conditions under which incorporating knowledge of one or all of the signal waveforms in the estimators improves the accuracy of the angle estimates are described

Published in:

Signal Processing, IEEE Transactions on  (Volume:41 ,  Issue: 9 )