Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Low-complexity H-infinity channel estimator for MIMO-OFDM systems

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)
Peng Xu ; EOSA, Univ. of Northeastern, Qinhuangdao, China ; Jinkuan Wang ; Feng Qi

Although maximum a posteriori probability (MAP) channel estimator has an optimal performance for MIMO-OFDM systems, its high complexity could be in the order of O(K3), where K is the number of subcarriers. So, in this paper, we introduce an H-infinity estimator which has good performance, but with much less complexity. Next, lots of matrices inversions and multiplications are reduced by the iterative expectation maximization (EM) algorithm. It is shown that the proposed EM-based H-infinity estimator has obviously improvement over optimal least square (LS) estimator with good convergence and the H-infinity estimator has almost the same performance as optimal MAP estimator with much less complexity.

Published in:

Wireless and Pervasive Computing (ISWPC), 2011 6th International Symposium on

Date of Conference:

23-25 Feb. 2011