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(2)
Detection Algorithm
Space Time
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Detection algorithm and initial laboratory results using VBLAST spacetime communication architecture
Detection algorithm and initial laboratory results using VBLAST spacetime communication architecture,10.1049/el:19990058,Electronics Letters,G. D. G
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Detection algorithm and initial laboratory results using VBLAST spacetime communication architecture
(
Citations: 851
)
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G. D. Golden
,
C. J. Foschini
,
R. A. Valenzuela
,
P. W. Wolniansky
Journal:
Electronics Letters  ELECTRON LETT
, vol. 35, no. 1, 1999
DOI:
10.1049/el:19990058
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Citation Context
(606)
...◦ Parallel encoding (VBLAST) [
37
] is a simplified version of DBLAST aiming at a lower computational complexity by removing the stream rotator...
PantelisDaniel Arapoglou
,
et al.
MIMO over Satellite: A Review
...These techniques have been applied to a variety of standards that include spread spectrum [3], orthogonal frequencydivision multiplexing (OFDM) [4] and multipleinput multipleoutput (MIMO) systems [
5
] and continue to play a key role in the design of wireless communications systems...
Rodrigo C. de Lamare
,
et al.
Blind Adaptive Constrained ConstantModulus ReducedRank Interference ...
...These methods, however, do not collect the same diversity (asymptotic negative logarithmicslopeoftheBERversussignaltonoiseratio(SNR) curve) as the ML detector [
3
], [4]...
...Unfortunately, the diversity order collected under this method is only [
3
], [4]...
Brian Gestner
,
et al.
Lattice Reduction for MIMO Detection: From Theoretical Analysis to Har...
...S IN [
1
]–[3], we consider the detection of a frame of data by the minimum meansquared error with successive interference cancellation (MMSESIC) detector in the spatially multiplexed multipleinput–multipleoutput (MIMO) system...
...2) Let L1 = [
1
] and D1 be equal to the (1, 1)th entry of RM . 3) Repeat steps 4–6 for m =1 , 2 ,...,M − 1. 4) Let rm+1 be the vector that contains the (1 ,m +1 )th down to the (m, m +1 )th entries of RM , and let rm+1 be equal to the (m +1 ,m +1 )th entry of RM . 5) Solve the lower triangular system, i.e.,...
...Our contribution in this brief is to provide a lowcomplexity hardoutput MMSESIC detector for the general spatial multiplexed MIMO system [
1
], [2]...
TsungHsien Liu
,
et al.
A LowCost MMSESIC Detector for the MIMO System: Algorithm and Hardwa...
...circularly symmetric complex Gaussian lattice basis matrices, we find that the complexity distribution of SD is of Paretotype (i.e., the corresponding tails decrease polynomially) with tail exponent given by . We show that this tail exponent cannot be improved (i.e., increased) by LR including layersorting (LS) (e.g., according to the VBLAST algorithm [
15
]) as a special case...
...We define LRbased preprocessing (see, e.g., [1]) as applying, prior to the QRD, the transformation , where is an unimodular matrix, i.e., , and . The matrix can, in general, depend on and is obtained, for example, through the LLL algorithm [29], which finds a basis matrix of the lattice that is closer to an orthogonal matrix than . Another important preprocessing technique is LS (e.g., according to the VBLAST algorithm [
15
]), which is ...
...Specifically, it can be shown that the LLL algorithm [29], the Seysen algorithm [30], LS according to the VBLAST algorithm [
15
], and the sortedQRD in [31] are all standard LR algorithms...
...2 LS according to the VBLAST algorithm [
15
] and the sortedQRD algorithm [31] fall into the category of standard LS algorithms...
...Fig. 1 shows the total complexity distribution in double logscale for SD with direct QRD, VBLAST LS [
15
], and with LLL preprocessing [34, with parameter ] for 4 4 and 5 4 MIMO systems...
Dominik Seethaler
,
et al.
On the Complexity Distribution of Sphere Decoding
References
(1)
Spatiotemporal coding for wireless communications
(
Citations: 119
)
G. G. Raleigh
,
J. M. Cioffi
Conference:
Global Telecommunications Conference, . GLOBECOM . IEEE  GLOBECOM
, 1996
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Citations
(851)
MIMO over Satellite: A Review
(
Citations: 5
)
PantelisDaniel Arapoglou
,
Konstantinos Liolis
,
Massimo Bertinelli
,
Athanasios Panagopoulos
,
Panayotis Cottis
,
Riccardo De Gaudenzi
Journal:
IEEE Communications Surveys and Tutorials  COMSUR
, vol. 13, no. 1, pp. 2751, 2011
Blind Adaptive Constrained ConstantModulus ReducedRank Interference Suppression Algorithms Based on Interpolation and Switched Decimation
(
Citations: 5
)
Rodrigo C. de Lamare
,
Raimundo SampaioNeto
,
Martin Haardt
Journal:
IEEE Transactions on Signal Processing  TSP
, vol. 59, no. 2, pp. 681695, 2011
Lattice Reduction for MIMO Detection: From Theoretical Analysis to Hardware Realization
(
Citations: 1
)
Brian Gestner
,
Wei Zhang
,
Xiaoli Ma
,
David V. Anderson
Journal:
IEEE Transactions on Circuits and Systems Iregular Papers  IEEE TRANS CIRCUIT SYSTI
, vol. 58, no. 4, pp. 813826, 2011
Independent component analysis for multipleinput multipleoutput wireless communication systems
(
Citations: 2
)
J. Gao
,
X. Zhu
,
A. K. Nandi
Journal:
Signal Processing
, vol. 91, no. 4, pp. 607623, 2011
A LowCost MMSESIC Detector for the MIMO System: Algorithm and Hardware Implementation
(
Citations: 1
)
TsungHsien Liu
,
JinYi Jiang
,
YuanSun Chu
Journal:
IEEE Transactions on Circuits and Systems Iiexpress Briefs  IEEE TRANS CIRCUIT SYSTII
, vol. 58, no. 1, pp. 5661, 2011