Abstract
In this letter, we present a new maximum likelihood (ML) decoding algorithm for space time block codes (STBCs) that employ multidimensional constellations. We start with a lattice representation for STBCs which transforms complex channel models into real matrix equations. Based on the lattice representation, we propose a new decoding algorithm for quasiorthogonal STBCs (QO-STBC) which allows simpleML decoding with performance identical to the conventional ML decoder. Multidimensional rotated constellations are constructed for the QO-STBCs to achieve full diversity. As a consequence, for quasi-orthogonal designs with an arbitrary number of transmit antennas N (N ≥ 4), the proposed decoding scheme achieves full rate and full diversity while reducing the decoding complexity from O(McN/2) to O(McN/4) in a Mc-QAM constellation.
Original language | English |
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Pages (from-to) | 17-21 |
Number of pages | 5 |
Journal | IEEE Transactions on Communications |
Volume | 57 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- Diversity methods
- Maximum likelihood decoding (MLD)
- Multidimensional rotated constellations
- Space-time block codes (STBC)
ASJC Scopus subject areas
- Electrical and Electronic Engineering