Low-Complexity Signal Detection for Large-Scale Quadrature Spatial Modulation Systems

In this letter, a novel low-complexity detector based on the concept of compressive sensing (CS) is proposed for a novel multiple-input multiple-output system, namely, quadrature spatial modulation (QSM). In particular, the CS algorithm is performed in the real-valued system model, and the activated...

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Bibliographic Details
Published in:IEEE communications letters 2016-11, Vol.20 (11), p.2173-2176
Main Authors: Xiao, Lixia, Yang, Ping, Fan, Shiwen, Li, Shaoqian, Song, Lijun, Xiao, Yue
Format: Article
Language:English
Subjects:
Complexity
Complexity theory
Compressive sensing (CS)
Computer simulation
Detectors
GSM
Indexes
Matching pursuit algorithms
MIMO
Modulation
multiple-input multiple-output (MIMO)
Performance enhancement
quadrature spatial modulation (QSM)
Signal detection
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Summary:In this letter, a novel low-complexity detector based on the concept of compressive sensing (CS) is proposed for a novel multiple-input multiple-output system, namely, quadrature spatial modulation (QSM). In particular, the CS algorithm is performed in the real-valued system model, and the activated antenna indices, which are used to transmit the real and imaginary parts of QSM symbols, can be estimated separately. In order to further improve the performance of QSM, a novel search strategy is proposed. Simulation results show that the proposed detector is capable of achieving a considerable reduction in complexity compared with the maximum likelihood counterpart with negligible performance loss.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2016.2602210