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Low-Complexity Signal Detection for Generalized Spatial Modulation

delete2014-03-01
delete143
PRE
AI
Y
Yue Xiao *
Z
Zongfei Yang
L
Lilin Dan
P
Ping Yang
L
Lu Yin
W
Wei Xiang
DOI:10.1109/LCOMM.2013.123113.132586delete
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摘要

摘要

En 中文
Generalized spatial modulation (GSM), in which only part of the transmit antennas are activated in each time slot, was recently proposed as a trade-off between spatial modulation (SM) and vertical Bell laboratories space-time (V-BLAST). Although the maximum likelihood (ML) detector is able to achieve the optimal performance, its exhaustive search leads to intractable computational complexity. In this letter, an efficient signal detection algorithm, termed ordered block minimum mean-squared error (OB-MMSE), is proposed for achieving near-ML performance with low complexity. On one hand, an ordering algorithm is proposed to sort the possible transmit antenna combinations (TACs). On the other hand, the possible signal vector for each ordered TAC is detected by block-MMSE equalization. Simulation results show that the proposed OB-MMSE detector provides similar performance to ML with near 80% reduction in complexity.
Keyword:
Generalized spatial modulation (GSM)
multiple input multiple output (MIMO)
maximum likelihood (ML)
ordered block minimum mean squared error (OB-MMSE)
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期刊

IEEE Communications Letters 封面图
IEEE Communications Letters
IF:
4.4
论文数:
1.3W
被引数:
2.2W

机构

U
University of Southern Queensland
学者数:
4.1K
论文数: 4.8K
被引数: 18
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