Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 414-419.doi: 10.11896/jsjkx.200900173

• Network & Communication • Previous Articles     Next Articles

Effect of Cross-polarization for Dual-polarized MIMO Channel in Satellite Communications

LENG Yue, XIE Ya-qin, LI Peng   

  1. School of Electricity and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:LENG Yue,born in 1996,postgraduate.Her main research interests include sa-tellite communication and so on.
    LI Peng,born in 1984,Ph.D,professor.His main research interests include wireless communication and satellite communication.
  • Supported by:
    National Natural Science Foundation of China(61501244).

Abstract: The combination of MIMO(multiple input multiple output) technology and satellite communications (SATCOM) canmake full use of space diversity and improve gain without adding additional power and bandwidth.In a mobile satellite system,due to the limitation of the space size on the satellite,it is not conducive to obtaining spatial diversity and multiplexing gains,so it is generally considered to construct a multi-antenna environment with different polarized antennas to obtain corresponding gains.This paper presents a method to analyze the impact of the Cross Polar Discrimination (XPD) on a single satellite dual-polarized MIMO communication system.In a polarization diversity MIMO satellite system model,through simulation from two aspects of bit error rate and channel capacity,different cross-polarization interference coefficients are evaluated in three scenarios:open area,suburban,and urban areas.The results show that the smaller the cross-polarization interference coefficient,the better the system BER(Bit Error Rate) performance and the larger the channel capacity.Moreover,when a signal is transmitted in urban areas,the channel capacity is higher than that in open area and suburban.

Key words: Channel capacity, Dual-Polarized, MIMO, Satellite communications, SINR

CLC Number: 

  • TN927.2
[1] DENNIS R.Satellite Communication[M].Beijing:Posts and Te-lecommunications Press,2002:1-2.
[2] WU J J.Study on the Channel Capacity and the Space TimeCoding under MIMO Satellite Channel[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2016.
[3] ARAPOGLOU P,BURZIGOTTI P,et al.To MIMO or Not To MIMO in Mobile Satellite Broadcasting Systems[J].IEEE Transactions on Wireless Communications,2011,10(9):2807-2811.
[4] VASSEUR H.Degradation of availability performance in dual-polarized satellite communications systems[J].IEEE Transactions on Communications,2000,48(3):465-472.
[5] ZHANG Q,CHEN D,XIAO Y X,et al.MIMO Application in Satellite Communication System[J].Space Electronic Technology,2018,175(1):57-62.
[6] WANG X,QI C.Algorithm for modeling dual-polarized MIMO channel in land mobile satellite communications[C]//International Conference on Wireless Communications & Signal Processing.IEEE,2017.
[7] NABAR R U,BOLCSKEI H,ERCEG V,et al.Performance of multiantenna signaling techniques in the presence of polarization diversity[J].IEEE Transactions on Signal Processing,2002,50(10):2553-2562.
[8] SELLATHURAI M,GUINAND P,LODGE J.Space-Time Coding in Mobile Satellite Communications Using Dual-Polarized Channels[J].IEEE Transactions on Vehicular Technology,2006,55(1):188-199.
[9] SCHWARZ R T,DELAMOTTE T,STOREK K U,et al.MIMO Applications for Multibeam Satellites[J].IEEE Transactions on Broadcasting,2019,65(4):664-681.
[10] CHARILAOS K,ATHANASIOS D P,PANTELIS D A,et al.MIMO dual polarized fixed satellite systems above 10 GHz:channel modeling and outage capacity evaluation[C]//European Conference on Antennas & Propagation.IEEE,2015,30(3):496-503.
[11] YUAN J J,LIU F F,GUO C,et al.On performance of cross-polarization discrimination com-pensation algorithm based on polarization modulation in presence of channel estimation error[J].Computer Enfineering and Applications,2016,52(S1):145-150.
[12] GUO C,CHEN S,FENG C,et al.Correlation-Statistics-BasedSpectrum Sensing Exploiting Energy and Polarization for Dual-Polarized Cognitive Radios[J].IEEE Transactions on Wireless Communications,2015,14(3):1533-1554.
[13] ZHANG W C.Design and performance analysis of downlink precoding in massive MIMO systems[D].Nanjing,Jiangsu,China:Southeast University,2015.
[14] SHU F,LI J,GU C,et al.Probability Density Analysis of SINR in Massive MIMO Downlink Using Matched Filter Beamformer[J].Journal of Data Acquisition and Processing,2015,30(3):496-503.
[15] BALACHANDER R,WILLIAM G C,et al.MIMO Applicability to UHF SATCOM[J].GLOCOM,2016.
[16] WANG C T.Satellite communication system[M].Beijing:National Defense Industry Press.2012.
[17] ZHENG Z.Measurement-Based research on the massive MIMO channel propagation characterics and modeling[D].Beijing:Beijing University of Posts and Telecommunications,2018.
[18] WANG W Y,CHEN J S.Study on Cross-polarization Interference Cancellation Technology[J].Telecommunication Enginee-ring,2013,53(6):707-710.
[1] WU Su-jie, ZHOU Jie, WANG Xue-ying, LYU Zhi-kang, SHAO Gen-fu. Study on Characteristics of Millimeter-wave MIMO Channel in Rainfall Environment [J]. Computer Science, 2022, 49(7): 297-303.
[2] DONG Dan-dan, SONG Kang. Performance Analysis on Reconfigurable Intelligent Surface Aided Two-way Internet of Things Communication System [J]. Computer Science, 2022, 49(6): 19-24.
[3] JIANG Rui, XU Shan-shan, XU You-yun. New Hybrid Precoding Algorithm Based on Sub-connected Structure [J]. Computer Science, 2022, 49(5): 256-261.
[4] TANG Chao-chen, QIU Hong-bing, LIU Xin, TANG Qing-hua. Angle Estimation of Coherent MIMO Radar Under the Condition of Non-uniform Noise [J]. Computer Science, 2022, 49(5): 262-265.
[5] CHEN Qian, ZHOU Jie, SHAO Gen-fu. MIMO Channels with Arbitrary AoA Power Spectrum for Various Wireless Environments [J]. Computer Science, 2020, 47(6): 271-275.
[6] LI Hao,CUI Xin-kai,GAO Xiang-chuan. Maximum Likelihood Blind Detection Algorithm Based on Piecewise Gaussian Approximation for Massive MIMO Outdoor Wireless Optical Communication Systems [J]. Computer Science, 2020, 47(3): 255-260.
[7] LIAO Yong, YANG Xin-yi, XIA Mao-han, WANG Bo, LI Shou-zhi, SHEN Xuan-fan. Improved Tomlinson-Harashima Precoding Based on Greedy Algorithm in High-speed Mobile Scenarios [J]. Computer Science, 2019, 46(8): 121-126.
[8] CHENG Zhen, LIN Fei, ZHAO Hui-ting, ZHANG Yi-ming. Analysis of Channel Capacity of Molecular Communication Model Based on Inter-user Interference [J]. Computer Science, 2019, 46(4): 112-117.
[9] WANG Peng-fei, ZHANG Hang. Sub-sampling Signal Reconstruction Based on Principal Component Under Underdetermined Conditions [J]. Computer Science, 2019, 46(10): 103-108.
[10] YAO Xin-wei, ZHONG Li-bin, WANG Wan-liang and YANG Shuang-hua. Capacity Analysis of Energy Harvesting Wireless Communication Channel Based on Hybrid Energy Storage [J]. Computer Science, 2018, 45(2): 165-170.
[11] LIU Chun-ling, MA Qiu-cheng, ZHANG Ran. Resource Allocation of Capacity Maximization Based on MIMO System [J]. Computer Science, 2018, 45(11A): 299-302.
[12] QIAN Xiao-jie and WANG Chao. Cross-layer Optimization Algorithm Based on Raptor Code for Video Multicast [J]. Computer Science, 2016, 43(8): 50-54.
[13] TANG Tao, ZHANG Jie, PI Yu-qian, SHEN Xuan-fan and LIAO Yong. Research on Channel Loss of Tropospheric Scatter Communication Based on MIMO [J]. Computer Science, 2016, 43(3): 99-102.
[14] YANG Huan and HE Yuan-zhi. Correlated Channel Capacity of Virtual MIMO Based on Distributed Satellites [J]. Computer Science, 2015, 42(Z6): 276-278.
[15] LIANG Xue-jun,WU Zhen,LI Wei and HUANG Ying. Multi-antenna Precoding Design Based on SAR Constraint [J]. Computer Science, 2014, 41(Z6): 293-295.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!