By Topic

Partial MAP-based lattice reduction-aided list MIMO detection

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 $33
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)
Lin Bai ; School of Electronic and Information Engineering, Beihang University, Beijing, People¿s Republic of China ; Chen Chen ; Jinho Choi

The partial maximum a posteriori probability (MAP) principle allows a decision on the list length of the list-based MIMO detection at a certain SNR to provide near optimal performance. The computationally efficient lattice reduction (LR) is adopted with the partial MAP-based list detection, where the column reordering criterion (CRC) is carried out to further reduce the list length and complexity.

Published in:

Electronics Letters  (Volume:48 ,  Issue: 10 )