期刊文献+

基于3GPP-SCM的智能天线系统信道模型仿真 被引量:6

Simulation of channel model of smart antenna system based on 3GPP-SCM
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摘要 无线通信信道的空时频特性是决定智能天线系统性能的重要因素。基于3GPP-SCM模型,从理论上对智能天线系统的信道进行了建模,针对3种通信场景,利用数值仿真研究了其空时频相关特性,及对应的波数谱、多普勒功率谱、功率时延谱,对该模型的衰落深度进行了研究。实验结果表明,SCM信道模型能反映智能天线系统空间信道的每次实现的变化特性,且可用于链路级和系统级仿真。 The channel characteristic of wireless communication channel in spatial, temporal and frequency domain is an important factor of determining the performance of smart antenna system. Based on the 3GPP-SCM model, the wireless communication channels are modeled in this paper, then under three communication scenarios, the channel characteristics in spatial, temporal and frequency domain are studied by numerical simulations, and the corresponding wave number spec- trum, Doppler power spectrum, power-delay spectrum and also fading depth of the model are studied. The results show that, SCM channel model can reflect the characteristic of changes in spatial channel of smart antenna system for each experi- ment and can be used for link-level and system-level simulation.
出处 《重庆邮电大学学报(自然科学版)》 北大核心 2011年第5期555-561,共7页 Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金 中国电子科技集团公司第54研究所通信网信息传输与分发技术重点实验室开放课题(ITD-U10005) 国家高技术研究发展计划(863计划)重点项目(2009AA011302) 重庆市教委科研项目(KJ090513,KJ110526) 重庆市科技攻关项目(CSTS,2010AC2143)~~
关键词 智能天线 3GPP—SCM 空时频特性 衰落深度 smart antenna 3GPP-SCM spatial-temporal-frequency characteristics fading depth
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参考文献16

  • 1ALEXIOU A,HAARDT M. Smart Antenna Technologies for Future Wireless Systems: Trends and challenges [ J J. com- munications Magazine, 2004, 42(9):90-97.
  • 2STEINBAUER M, MOLISCH A F, BONEK E. The Double-Directional Radio Channel [ J ]. IEEE Antennas and Propagation Magazine, 2001 , 43 (4) :51-63.
  • 3DRIESSEN P F, FOSCHINI G J. On the Capacity Formula for Multiple-input-Multiple-Output Wireless Chan- nels : A Geometric Interpretation [ J] , IEEE Transactions on Communications, 1999, 47(2) :173-176.
  • 4WEICHSELBERGER W, HERDIN M, OZCELIK H, et al. A stochastic MIMO channel model with joint correlation of both link ends[J]. IEEE Trans-actions on Wireless Communications, 2006,5 ( 1 ) :90-99.
  • 53rd Generation Partnership Project. Technical Specification Group Radio Access Network. Spatial Channel Model for MIMO Simulations, 3GPP TR 25. 996 V7. 1.0 [ EB/ OL]. (2007-03-10) [2011-03-02]. http://www. 3gpp. org.
  • 6NARANDZIC M, SCHNEIDER C, THOMA R. Comparison of SCM, SCME and WINNER channel model [ C ]// Proc. of the 65th IEEE Veh. Tech. Conf. ( VTC 07). Dublin, Ireland: IEEE Press, 2007:413417.
  • 73GPP. Lucent, Correlation Computation of SCM, SCM-096R1 [ EB/OL]. (2003-07-01) [ 2011-03-21 ]. http :// tip. 3gpp2. org/TSGC/workingc/2003/3GPP_3GPP2 SCM_ ( Spatial _ Modeling )/Mtg4-20030108/SCM-096RI-LUC- Correlation-Computation. pdf.
  • 8QUALCOMM Inc. SCM-127-QCOM-Correlation Properties[ EB/OL ]. ( 2003-03-20 ) [2011-03-21]. http:// www. 3gpp. org.
  • 9Motorola Inc. SCM Fading Model, SCM-101 [ EB/OL] (2003-01-30). http ://www. 3gpp. org.
  • 10WANG Cheng-xiang , HONG Xue-min, WU Han-guang, et al. Spatial-temporal Correlation Properties of the 3GPP Spatial Channel Model and the Kronecker MIMO Channel Model[ J]. EURASIP Journal on Wireless Communications and Networking, 2007 ( 1 ) : 1-9.

二级参考文献7

  • 1FOSCHINI G J,CANS M J.On limits of wireless communications in a fading environment when using multiple antennas[J].Wireless Personal Communications,1998,6(3):311-335.
  • 2TELATAR I E.Capacity of multiple antenna Gaussian channels,BL0 112 170-950 615-07TM[R].AT&T Bell Laboratories,1995.
  • 3JAKES W C.Microwave mobile communications[M].New York:IEEE Press,1993.
  • 4LEE W C Y.Effects on correlation between two mobile radio basestation antennas[J].IEEE Transactions Communication,1973,COM21(11):1214-1224.
  • 5SALZ J,WINTERS J H.Effect of fading correlation on adaptive arrays in digital mobile radio[J].IEEE Transactions on Vehicular Technology,1994,43(4):1049-1057.
  • 6ASZT(E)LY D.On antenna arrays in mobile communication systems:fast fading and GSM base station receiver algorithm,IR-S3-SB-9611[R].Stockholm,Sweden:Royal Institute Technology,1996.
  • 7PEDERSEN K I,MOGENSEN P E,FLEURY B H.Spatial channel characteristics in outdoor environments and their impact on BS antenna system performance[C]// Proceedings of 48th Vehicular Technology Conference (VTC '98),May 18-21,1998,Ottawa,Canada.Piscataway:IEEE Press,1998,2:719-723.

共引文献4

同被引文献32

  • 1董海,王宛山,巩亚东,李彦平.网络化制造环境下电子商务公司的分形SCM研究[J].东北大学学报(自然科学版),2007,28(7):1029-1032. 被引量:1
  • 2姚引娣.第四代移动通信系统及其关键技术[J].西安邮电学院学报,2007,12(5):25-29. 被引量:11
  • 3统控制方法在物流管理中的应用研究[D].无锡:江南大学2009.
  • 4卜斌龙,薛锋章,孙善球,谢国庆,范颂东.相位连续可变的移相器[P].中国专利:CN2859838.
  • 53GPP, TR 25. 996. Spatial Channel Model for MIMOSiraulations[EB/OL]. (2012-12-21) [2013-1042]. ht-tp://www. 3gpp. org/DynaReport/25996. html.
  • 6BERNAD0L, ROMA A, CZINK N, et al. Cluster-basedscatterer identification and characterization in vehicularchannels [ C ]//Wireless Conference 2011 -SustainableWireless Technologies ( European Wireless),11th Euro-pean. Viwnna ;IEEE Presss, 2011 : 1-6.
  • 7PAULRAJ A J, GORE D A,NABAR R U, et al. An o-verview of MIMO communi c ati ons - a key to gigabit wireless[J]. Proceedings of the IEEE, 2004, 92(2) : 198-218.
  • 8ZHANG J,LIU R, LIU D. Research on the Channel Es-timation Algorithms in MIMO-Channel [ C ]//The Pro-ceedings of the Second International Conference on Com-munications ,Signal Processing, and Systems. Tianjing:Springer International Publishing, 2014 : 839-846.
  • 9CORNISH N J, LARSON S L. LISA data analysis:Doppler demodulation [ J]. Classical and Quantum Grav-ity, 2003 , 20(10) ; S163-S170.
  • 10KHARE A,TRIVEDI K, DIXIT S. Effect of Doppler fre-quency and ber in FFT based OFDM system with Rayleighfading channel [ C ] //Electrical, Electronics and Comput-er Science ( SCEECS). Bhopal : IEEE Press, 2014 : 1-6.

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