Title :
Channel Orthogonalizing Precoder for Open-Loop QO-STBC Systems
Author :
Kim, Heejin ; Lee, Heunchul ; Lee, Inkyu
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
This paper proposes a new preprocessing scheme for rate-one quasi-orthogonal space-time block code (QO-STBC), which requires no channel state information at the transmitter. We consider QO-STBCs in real domain so as to utilize the real-valued multidimensional constellation. First, we derive a preceding matrix which makes the effective channel matrix of QO-STBC column-wise orthogonal. Surprisingly, the proposed scheme provides the channel gains identical to the singular values of the channel matrix of STBCs. Since singular value decomposition based preceding method provides better performance than other conventional maximum-likelihood decoding method in coded systems, the proposed scheme outperforms other STBC schemes in coded systems without feedback information, while reducing the decoding complexity dramatically. Second, we employ the rotated multidimensional constellation in order to achieve full diversity in uncoded systems. Unlike the previous works where heuristic approaches should be needed to obtain solutions in QO-STBC systems with more than four transmit antennas, the proposed precoding combined with the rotated multidimensional constellation provides an optimal solution based on analysis regardless of the number of transmit antennas.
Keywords :
block codes; channel coding; communication complexity; maximum likelihood decoding; orthogonal codes; precoding; singular value decomposition; space-time codes; transmitting antennas; channel matrix; channel orthogonalizing precoder; channel state information; conventional maximum-likelihood decoding method; decoding complexity; heuristic approach; open-loop QO-STBC systems; rate-one quasiorthogonal space-time block code; real-valued multidimensional constellation; singular value decomposition based preceding method; transmit antennas; transmitter; Block codes; Channel state information; Information systems; Information technology; Matrix decomposition; Maximum likelihood decoding; Multidimensional systems; Singular value decomposition; Transmitters; Transmitting antennas;
Conference_Titel :
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-4148-8
DOI :
10.1109/GLOCOM.2009.5426185