A novel low complexity detector for MIMO system Conference Paper

abstract

• We propose a Space Alternating Generalized Expectation-Maximization (SAGE) aided List-BLAST detection scheme, which can achieve performance close to that of the maximum-likelihood detector with low computational complexity. The SAGE algorithm searches for the ML solution iteratively by resolving the interference among signals from different transmit antennas. To improve the probability of convergence to the ML solution, multiple initial points are used. The List-BLAST algorithm, which exhausts the constellation points in the first layers of a BLAST detection scheme, is shown to be an excellent way to generate initial points. The complexity of the proposed detection scheme is compared with that of the sphere detection scheme, and it is shown to have a number of implementation advantages. 2004 IEEE.

name of conference

• Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.

authors

• Georghiades, Costas

published proceedings

• CONFERENCE RECORD OF THE THIRTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2

author list (cited authors)

• Xie, Y. Z., Georghiades, C. N., & Li, Q.

citation count

• 3

complete list of authors

• Xie, YZ||Georghiades, CN||Li, Q

publication date

• January 2004

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Conference record / Asilomar Conference on Signals, Systems & Computers. Asilomar Conference on Signals, Systems & Computers  Journal

Digital Object Identifier (DOI)

• 10.1109/acssc.2004.1399121

International Standard Book Number (ISBN) 10

• 0-7803-8622-1

start page

• 208

end page

• 212

volume

• 1

URL

• http://dx.doi.org/10.1109/acssc.2004.1399121