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Bayesian Compressive Sensing Assisted Space-Time Block Coded Quadrature Spatial Modulation

delete2018-10-01
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OA
AI
肖
肖丽霞 (Lixia Xiao)
P
Pei Xiao
Y
Yue Xiao
I
Ibrahim Hemadeh
A
Abdelrahim Mohamed
L
Lajos Hanzo *
DOI:10.1109/TVT.2018.2854912delete
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摘要

摘要

En 中文
A novel multiple-input and multiple-output transmission scheme termed as space-time block coded quadrature spatial modulation (STBC-QSM) is proposed. It amalgamates the concept of quadrature spatial modulation (QSM) and space-time block coding (STBC) to exploit the diversity benefits of STBC relying on sparse radio frequency chains. In the proposed STBC-QSM scheme, the conventional constellation points of the STBC structure are replaced by the QSM symbols; hence, the information bits are conveyed both by the antenna indices as well as by conventional STBC blocks. Furthermore, an efficient Bayesian compressive sensing (BCS) algorithm is developed for our proposed STBC-QSM system. Both our analytical and simulation results demonstrated that the proposed scheme is capable of providing considerable performance gains over the existing schemes. Moreover the proposed BCS detector is capable of approaching the maximum likelihood detector's performance despite only imposing complexity near similar to that of the minimum mean square error detector in the high signal-to-noise ratio regions.
Keyword:
Quadrature spatial modulation (QSM)
space time block coding (STBC)
Bayesian compressive sensing
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期刊

IEEE Transactions on Vehicular Technology 封面图
IEEE Transactions on Vehicular Technology
IF:
7.1
论文数:
1.8W
被引数:
6.6W

机构

U
university of southampton
学者数:
3.3W
论文数: 3.2W
被引数: 52
U
University of Surrey
学者数:
1.2W
论文数: 1.3W
被引数: 22
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