TY - GEN
T1 - Improved MIMO detection based on successive tree approximations
AU - Goldberger, Jacob
PY - 2013
Y1 - 2013
N2 - This paper proposes an efficient high-performance detection algorithm for MIMO communication systems that is based on a sequence of optimal tree approximations of the Gaussian density of the unconstrained linear system. The finite-set constraint is then applied to obtain a cycle-free discrete distribution that is suitable for message-passing algorithms. The proposed GTA-SIC algorithm is iterative and is based on first decoding the most reliable symbol, then canceling its contribution and applying the message-passing decoding to the smaller system. The computational complexity of the proposed GTA-SIC algorithm and the MMSE-SIC are comparable. The significantly improved MIMO decoding performance of the algorithm proposed here compared to lattice-reduction aided MMSE-SIC is demonstrated on several examples of large MIMO systems with high-order QAM constellations.
AB - This paper proposes an efficient high-performance detection algorithm for MIMO communication systems that is based on a sequence of optimal tree approximations of the Gaussian density of the unconstrained linear system. The finite-set constraint is then applied to obtain a cycle-free discrete distribution that is suitable for message-passing algorithms. The proposed GTA-SIC algorithm is iterative and is based on first decoding the most reliable symbol, then canceling its contribution and applying the message-passing decoding to the smaller system. The computational complexity of the proposed GTA-SIC algorithm and the MMSE-SIC are comparable. The significantly improved MIMO decoding performance of the algorithm proposed here compared to lattice-reduction aided MMSE-SIC is demonstrated on several examples of large MIMO systems with high-order QAM constellations.
UR - https://www.scopus.com/pages/publications/84890328351
U2 - 10.1109/isit.2013.6620577
DO - 10.1109/isit.2013.6620577
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:84890328351
SN - 9781479904464
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2004
EP - 2008
BT - 2013 IEEE International Symposium on Information Theory, ISIT 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE International Symposium on Information Theory, ISIT 2013
Y2 - 7 July 2013 through 12 July 2013
ER -