By Topic

Application of Optimized Filters to Two-Dimensional Sidelobe Mitigation in Meteorological Radar Sensing

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

3 Author(s)
Shang Wang ; School of Electrical and Computer Engineering and Atmospheric Radar Research Center, The University of Oklahoma, Norman, OK, USA ; Zhengzheng Li ; Yan Zhang

Two-dimensional reiterative minimum mean-square error and 2-D least-square solutions that mitigate the sidelobe effects of both pulse compression processing and antenna radiation patterns are derived and compared with traditional matched filtering. The methods are applied to observations of distributed weather targets. The results of simulations based on realistic weather model outputs and scattering models are presented, and sidelobe mitigation performance, based on average mean-square-error, is discussed.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:9 ,  Issue: 4 )