Real-domain decoder for full-rate full-diversity STBC with multidimensional constellations

Lee, Heunchul; Cho, Jungho; Kim, Jong-kyu; Lee, Inkyu

doi:10.1109/tcomm.2009.0901.070056

Cited by 13 publications

(11 citation statements)

References 15 publications

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“…To verify this, we illustrate simulation results for QO 8 with 4-QAM in Figure 1. We present the bit-error rate (BER) performance of the proposed precoding scheme with multidimensional constellation, the real-multidimensional constellation phase rotation scheme [6] and the conventional complex constellation rotation scheme [5]. In the scheme of [5], half of the symbols are drawn from the signal constellation set A and the other half from the rotated constellation e jφ A.…”

Section: A Simulation Results For Uncoded Systemsmentioning

confidence: 99%

“…Alson i represents the independent and identicallydistributed (i.i.d) complex Gaussian noise at time i with variance σ 2 n . By decomposing the received signal vectorȳ in (1) into its real and imaginary parts, we can denote the equivalent realrepresented channel matrix H Nt ∈ R 2Nt×2Nt [6] as…”

Section: System Model and Real-valued Representationmentioning

confidence: 99%

“…Note that pairs of the column vectors {h 1 h 2 }, {h 3 h 4 }, {h 5 h 6 } and {h 7 h 8 } constitute orthogonal subsets, which means that Maximum-likelihood (ML) decoding can be performed independently over x i1 , x i2 , x q1 and x q2 [6].…”

Section: System Model and Real-valued Representationmentioning

confidence: 99%

“…Also g k is the kth diagonal component of orthogonalized channel matrixH e Nt . The number of search candidates for the LLR computation in [3], [4], [5] and [7] is M Nt/2 c , whereas that in [6] equals M Nt/4 c . In contrast, the proposed LLR derivation (14) requires √ M c search candidates and provides a considerable computational reduction compared to conventional LLR computation methods.…”

Section: B Decoding Algorithm For Coded Systemsmentioning

confidence: 99%

“…More importantly, in [6] the multidimensional rotated constellations are employed instead of the conventional full diversity schemes using the methods proposed in [4] [5] [7] [8]. For the four transmit antenna case, the rotation matrix for the optimal multidimensional rotated constellations is presented in [6].…”

Section: Introductionmentioning

confidence: 99%

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Channel Orthogonalizing Precoder for Open-Loop QO-STBC Systems

Kim

Lee²,

Lee

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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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 precoding 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 precoding 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.

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Section: A Simulation Results For Uncoded Systemsmentioning

confidence: 99%

Section: System Model and Real-valued Representationmentioning

confidence: 99%

Section: System Model and Real-valued Representationmentioning

confidence: 99%