Adaptive Coherent/Non-Coherent Spatial Modulation Aided Unmanned Aircraft Systems

Xu, Chao; Bai, Tong; Zhang, Jiankang; Rajashekar, Rakshith; Maunder, Robert G.; Hanzo, Lajos

doi:10.1109/mwc.2019.1800430

Cited by 39 publications

(39 citation statements)

References 13 publications

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“…Multiple aircraft antennas can provide significant diversity gain up to 16 dB in the shadowing area, and the diversity gain is typically less than 5 dB or 6 dB outside the shadowing region [91]. The space time codes are suggested to overcome this array antennas interference, whereas spatial modulation can improve the spectral efficiency [94], [95].…”

Section: Aircraft Shadowingmentioning

confidence: 99%

A Comprehensive Survey on UAV Communication Channel Modeling

Yan¹,

Fu²,

et al. 2019

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Unmanned aerial vehicles (UAVs) have stroke great interested both by the academic community and the industrial community due to their diverse military applications and civilian applications. Furthermore, UAVs are also envisioned to be part of future airspace traffic. The application functions delivery relies on information exchange among UAVs as well as between UAVs and ground stations (GSs), which further closely depends on aeronautical channels. However, there is a paucity of comprehensive surveys on aeronautical channel modeling in line with the specific aeronautical characteristics and scenarios. To fill this gap, this paper focuses on reviewing the air-to-ground (A2G), ground-to-ground (G2G), and air-toair (A2A) channel measurements and modeling for UAV communications and aeronautical communications under various scenarios. We also provide the design guideline for managing the link budget of UAV communications taking account of link losses and channel fading effects. Moreover, we also analyze the receive/transmit diversity gain and spatial multiplexing gain achieved by multiple-antenna-aided UAV communications. Finally, we discuss the remaining challenge and open issues for the future development of UAV communication channel modeling.

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Section: Aircraft Shadowingmentioning

confidence: 99%

A Comprehensive Survey on UAV Communication Channel Modeling

Yan¹,

Fu²,

et al. 2019

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“…According to (28), it is plausible that the proposed lowcomplexity detector is capable of reducing the complexity to about 25%, 12.5%, 6.25% and 3.125% of that of the ML detector for QPSK, 8-PSK, 16-PSK and 32-PSK, respectively.…”

Section: Low-complexity Hl-ml Detectormentioning

confidence: 99%

Differentially-Encoded Rectangular Spatial Modulation Approaches the Performance of Its Coherent Counterpart

Xiao

Ruan

et al. 2020

IEEE Trans. Commun.

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A simplified rectangular differential spatial modulation (S-RDSM) scheme is conceived for massive multiple-input multiple-output (MIMO) systems dispensing with the channel state information (CSI). In the proposed S-RDSM scheme, the information bits are first mapped to a conventional SM symbol and then rectangular differential encoding is invoked between a pair of SM symbols. Then a non-coherent detector relying on a forgetting factor is developed, which requires no CSI at the receiver. Explicitly, a low-complexity hard limited maximum likelihood (HL-ML) detector is conceived for our generalized S-RDSM scheme, which is characterized by our theoretical analysis. Furthermore, we derive the optimal forgetting factor in closed form, which is capable of significantly reducing the complexity of the associated optimization. Finally, the upper bounds of the average bit error probability (ABEP) are derived using the moment generating function (MGF), and are validated by our simulation results. Both the theoretical and simulation results have shown that the proposed S-RDSM system outperforms the existing non-coherent schemes, despite operating at 10% of the benchmarker's complexity, whilst approaching the performance of its coherent SM counterpart at a comparable complexity.

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“…in which N k and M k are the noise and MTI components of kth frequency bin. Assuming the Low Pass Filters (LPF) as ideal with 0dB attenuation in its passband, based on the waveform normalization (4), N k follows a complex Gaussian distribution with mean of zero and variance of n 0 . The characteristics of MTI components {M k } will be explained in next section.…”

Section: System Modelmentioning

confidence: 99%

“…Many multi-robot coordination problems require intraswarm shared situational awareness [3], which is most likely achieved by wireless communication techniques. Due to the Size, Weight, And Power (SWAP) constraints [4]…”

Section: Introductionmentioning

confidence: 99%

Optimum Combining for Coherent FFH/DS Spread Spectrum Receivers in the Presence of Multi-Tone Jammer

Luo

Zhang

et al. 2020

IEEE Access

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Fast Frequency Hopping/Direct Sequence (FFH/DS) hybrid spread spectrum is an effective technique of the communication network for the robot swarms operating in complex electromagnetic environment. It combines the advantages of both Frequency Hopping Spread Spectrum (FHSS) and Direct Sequence Spread Spectrum (DSSS), and also uses the diversity-combining in time and frequency domain to effectively reject unwanted jamming. Multi-Tone Interference (MTI) is one of the most deleterious jamming waveforms for frequency hopping systems, and consequently a severe threat for FFH/DS systems. In this article, we explore the effect of MTI on coherent FFH/DS, and we have shown that, if spectral sensing mechanism for MTI frequency and power monitoring is available, the MTI in FFH/DS reception is a set of complex sinusoid components with deterministic amplitudes and random phases, instead of the conventionally assumed Gaussian random variables. In light of this new finding, a novel combining method is proposed. It utilizes the spectral sensing information to adaptively compute the combining weights, following Maximum Signal to Interference plus Noise (MSINR) law. Its combining performance is analyzed and compared with other existing methods, and verified by simulations. It is shown that the proposed adaptive MSINR combining has satisfactory performance under both medium and strong MTI scenarios.

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Adaptive Coherent/Non-Coherent Spatial Modulation Aided Unmanned Aircraft Systems

Cited by 39 publications

References 13 publications

A Comprehensive Survey on UAV Communication Channel Modeling

A Comprehensive Survey on UAV Communication Channel Modeling

Differentially-Encoded Rectangular Spatial Modulation Approaches the Performance of Its Coherent Counterpart

Optimum Combining for Coherent FFH/DS Spread Spectrum Receivers in the Presence of Multi-Tone Jammer

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