2017
DOI: 10.1109/tvt.2017.2731989
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Diversity-Achieving Quadrature Spatial Modulation

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Cited by 21 publications
(15 citation statements)
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“…Specifically, Fig. 1 compares the performance of the proposed STBC-QSM system to that of the DA-QSM system [14] and of the ESM-ATA system [13] having N t = 4, N r = 4 at 4 bits/s/Hz and N t = 8, N r = 8 at 6 bits/s/Hz. ML detectors are employed in these systems.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Specifically, Fig. 1 compares the performance of the proposed STBC-QSM system to that of the DA-QSM system [14] and of the ESM-ATA system [13] having N t = 4, N r = 4 at 4 bits/s/Hz and N t = 8, N r = 8 at 6 bits/s/Hz. ML detectors are employed in these systems.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Recently, the QSM design efforts have been mainly focused on the performance analysis [6]- [7], on its coherent vs non-coherent detection [8]- [9], as well as on its extension to multi-carrier transmission [10]. In order to exploit the diversity gain of the QSM and SM system, the diversity oriented QSM and SM designs were investigated in [11]- [14]. Specifically, in [13], an Enhanced SM relying on an Arbitrary Transmit Antenna (ESM-ATA) configuration and single or twin RF stages was proposed.…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, by multiplying a new SC matrix with a double space-time transmit diversity code, a high-rate SM scheme called DT-SM is proposed in [8]. Almost at the same time, inspired by the concept of quadrature SM (QSM), a diversity-achieving QSM (DA-QSM) scheme is presented in [9]. Both the DT-SM and DA-QSM schemes are proved to have better bit error rate performance than the previous schemes in [4], [5] and [7].…”
Section: Introductionmentioning
confidence: 99%
“…Sensor perception acquires data knowledge from different sensors, which is the primary link of automatic detection and control. (6,7) According to different sensing functions, sensors can be classified into, for example, thermal, force, magnetic, and gas sensors. Sensor integration combines sensory data or data derived from disparate sources, (8,9) and sensor fusion fuses different pieces of sensing information into one representation.…”
Section: Introductionmentioning
confidence: 99%