By Topic

Iterative joint synchronization and channel Matrix Dimensionality Reduction estimator for MIMO-OFDM

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

4 Author(s)
He Bo ; School of Information Science and Engineering, Shandong University, Ji'nan 250100, China ; Li Jun ; Hou Meng ; Li Ming-Ming

In this paper, we derived joint frequency synchronization and channel estimation algorithms MIMO-OFDM systems (Multiple-Input Multiple-Output & Orthogonal Frequency Division Multiplexing). Although the new estimator is also based on Expectation Maximization (EM) algorithm, but unlike traditional estimator the new one utilized some known channel parameters to achieve estimator Matrix Dimensionality Reduction (MDR) algorithm then the computational complexity and impact of noise are both decreased. We formulated time-domain CIR estimation algorithm in the first place. The new CIR estimator adopts matrix dimension reduction algorithm to decrease computational complexity and eliminate the effect of noise and interferences. Then, in order to increase the performance of estimator and obtain residual Carrier Frequency Offset, Expectation Maximization (EM) algorithm is employed as joint frequency synchronization and CIR estimator. In the end, computer simulation proved the above theory analyses.

Published in:

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Date of Conference:

16-18 April 2010