UAV-MIMO Channel Characteristic Analysis Based on GBSBCS Model

doi:10.16182/j.issn1004731x.joss.201703004

Abstract

Abstract: The simple form of UAV space-time-frequency channel correlation function was presented based on the three-dimensional geometrically based single bounce concentric elliptic ring scattering (GBSBCER) channel model of Multi-Input Multi-Output（MIMO）for Unmanned Aerial Vehicle (UAV). The analytic formula of UAV-MIMO normalized correlation matrix was deduced. The effect of antennas structures, flight distance and scatters distributing on the characteristic parameters such as the condition number of UAV-MIMO channel matrix and the channel capacity were analyzed by this formula. The simulation results show that, the performance of UAV-MIMO communication can be improved by reasonably arranging the antennas, adjusting the flight parameters, which lays a theoretical foundation for realizing the application of MIMO technology in UAV communication system.

Key words: UAV-MIMO, channel model, matrix condition number, channel capacity, correlation matrix

CLC Number:

V234

Gao Xijun, Chen Zili, Hu Yongjiang, Zhou Zidong. UAV-MIMO Channel Characteristic Analysis Based on GBSBCS Model[J]. Journal of System Simulation, 2017, 29(3): 494-501.

References

[1] Byers G J, Takawira F.Spatially and temporally correlated MIMO channels: modeling and capacity analysis[J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2004, 53(3): 966-975.
[2] Jordi Romeu, Albert Aguasca, Javier Alonso, et al.Small UAV radio communication channel characterization[C]// Proceedings of the Fourth European Conference on Antennas and Propagation, UTC from IEEE Xplore. USA: IEEE, 2010: 1-5.
[3] Tricia J W, Chris C S, Geoffrey W K C, et al. Measurement and characterization of low altitude air-to-ground MIMO channels[J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2015, 65(4): 2637-2648.
[4] Zhan Pengcheng, Kai Yu, A Lee Swindlehurst. Wireless relay communications with unmanned aerial vehicles: performance and optimization[J]. IEEE Transactions on Aerospace and Electronic Systems (S0018-9251), 2011, 47(3): 2069-2085.
[5] Yu N Parshin, A V Kharin. Capacity of the MIMO communication channel with UAV with different configurations of antenna systems[C]// International Crimean Conference "Microwave & Telecommunication Technology": CrSTC (IEEE catalog Number: CFP13788). USA: IEEE, 2013, 9: 252-253.
[6] 谭征, 张晓林. 无人直升机多天线通信信道建模及性能分析[J]. 北京航空航天大学学报, 2010, 36(10): 1171-1175.
(Tan Zheng, Zhang Xiaolin.Modeling and performance analysis of multiple antennae communication channel for pilotless helicopter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(10): 1171-1175.)
[7] 胡永江, 李小民. 基于非全向天线的无人机MIMO信道模型研究[J]. 航空学报, 2011, 32(6): 1192-1101.
(Hu Yongjiang, Li Xiaoming.Investigation on MIMO Wideband Channel Model for Unmanned Aerial Vehicle with Non-omnidirectional Antennas[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(6): 1192-1101.)
[8] Liang Zhou, Yoji Ohashi.Design of non-uniform antenna arrays for robust millimeter-wave LOS MIMO communications[C]// IEEE PIMRC. USA: IEEE, 2013: 1397-1401.
[9] 左晓亚, 王永生, 许家栋, 等. 多入多出超宽带信道建模与仿真[J]. 系统仿真学报, 2012, 24(8): 1674-1679.
(Zuo X Y, Wang Y S, Xu J D, et al.Multiple input multiple output ultra wideband channel modeling and simulation[J]. Journal of System Simulation (S1004-731X), 2012, 24(8): 1674-1679.)
[10] Loyka S L.Channel Capacity of MIMO architecture using the exponential correlation matrix[J]. IEEE Communications Letters (S1089-7798), 2001, 5(9): 369-371.
[11] 尹波, 郝宏刚, 王斌, 等. MIMO信道中空域相关特性分析[J]. 重庆邮电大学学报(自然科学版), 2013, 25(2): 244-247.
(Yin Bo, Hao Honggang, Wang Bin, et al.Analysis of spatial correlation of a channel model for MIMO[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2013, 25(2): 244-247.)
[12] Qu S, Yeap T.A three-dimensional scattering model for fading channels in land mobile environment[J]. IEEE Trans. Vehicular. Tech.(S0018-9545), 1999, 48(5): 765-781.