DocumentCode
70185
Title
Low-Complexity Signal Detection for Generalized Spatial Modulation
Author
Yue Xiao ; Zongfei Yang ; Lilin Dan ; Ping Yang ; Lu Yin ; Wei Xiang
Author_Institution
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
18
Issue
3
fYear
2014
fDate
Mar-14
Firstpage
403
Lastpage
406
Abstract
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.
Keywords
MIMO communication; least mean squares methods; maximum likelihood detection; transmitting antennas; ML detector; OB-MMSE detector; SM-MIMO; TAC; V-BLAST; block-MMSE equalization; generalized spatial modulation; low-complexity signal detection; maximum likelihood detector; ordered block minimum mean-squared error; transmit antenna combinations; vertical Bell laboratories space-time; Complexity theory; Detection algorithms; Detectors; GSM; Modulation; Transmitting antennas; Vectors; Generalized spatial modulation (GSM); maximum likelihood (ML); multiple input multiple output (MIMO); ordered block minimum mean squared error (OB-MMSE);
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2013.123113.132586
Filename
6784532
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