By Topic

MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation

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)
Goldberger, J. ; Sch. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel ; Leshem, A.

This paper proposes a new detection algorithm for MIMO communication systems employing high-order QAM constellations. The factor graph that corresponds to this problem is very loopy; in fact, it is a complete graph. Hence, a straightforward application of the Belief Propagation (BP) algorithm yields very poor results. Our algorithm is based on an optimal tree approximation of the Gaussian density of the unconstrained linear system. The finite-set constraint is then applied to obtain a cycle-free discrete distribution. Simulation results show that even though the approximation is not directly applied to the exact discrete distribution, applying the BP algorithm to the cycle-free factor graph outperforms current methods in terms of both performance and complexity. The improved performance of the proposed algorithm is demonstrated on the problem of MIMO detection.

Published in:

Information Theory, IEEE Transactions on  (Volume:57 ,  Issue: 8 )