期刊文献+

不同传输环境下MIMO信道的空间相关性的研究 被引量:5

The Research on the Space Correlation in MIMO Systems
下载PDF
导出
摘要 基于宏小区及微小区MIMO信道模型,比较了MIMO信道在两种传输环境中的空间相关特性,通过数值分析方法得到了两类信道空间相关性随发送端、接收端天线阵列的分布而变化的特征曲线,并分析比较了信道参数,即到达角的角度扩展,对空间相关性的影响。在此基础上,讨论了空间相关系数对系统功率有效性和频带有效性的影响,找到了在不同传输环境下,影响系统BER性能的空间相关系数的门限。 The space correlation is analyzed in different propagation conditions including the MIMO macro-cell and micro-cell applications. The characteristics curves describing the space correlation versus the distance of antennas are obtained according to the numerical analysis. The effect of the spread of the angle of arrival on the space correlation is also investigated. Besides, the impact of the space correlation on the system performances is discussed here. The thresholds of the space correlation coefficients influencing BER performance under different propagations are also found by BER analysis.
作者 孙君 袁东风
出处 《电子与信息学报》 EI CSCD 北大核心 2008年第11期2580-2583,共4页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60672036) 山东省重点科技基金(Z2006G04)资助课题
关键词 MIM0信道模型 窄间相关 信道参数 系统性能 MIMO channel models Space correlation Channel parameters System performances
  • 相关文献

参考文献11

  • 1Lu J, Tjhung T T, and Chai C C. Error probability performance of L-branch diversity reception of MQAM in Rayleigh fading[J]. IEEE Trans. on Commun., 1998, 46(1): 179-181.
  • 2Shiu D S, Foschini G J, and Gans M J. Fading correlation and its effect on capacity of multi-element antenna systems[J]. IEEE Trans. on Commun., 2000, 48(3): 502-513.
  • 3Sandhu S and Paulraj A. Space time block codes: A capacity perspective[J]. IEEE Commun. Lett., 2000, 4(12): 384-386.
  • 4Zhang H and Gulliver T A. On the probability of error for orthogonal space-time block codes over correlated Rayleigh and Nakagami-m fading channels[A]. In Proc. IEEE 6th CAS Symp. On Emerging Technologies: Mobile and Wireless Commun., Shangai, China, 2004: 579-582.
  • 5李焱,张璐,许家栋.基于移动端多天线系统的无线衰落信道模型[J].电波科学学报,2003,18(6):712-716. 被引量:19
  • 6Guillen Femenias. BER performance of linear STBC from orthogonal designs over MIMO correlated Nakagami-m fading channels[J]. IEEE Trans. on Vehicular Technology, 2004, 53(1): 307-317.
  • 7Hogstad B O, Patzold M, and Chopra A. A study on the capacity of narrow- and wideband MIMO channel models. In Proc. 15th IST Mobile & Communications Summit, IST 2006 Myconos, Greece, 3une 2006.
  • 8王自力,龚耀寰.MIMO宏小区窄带信道模型的相关性能分析[J].电波科学学报,2005,20(1):37-42. 被引量:14
  • 9魏旻,龚耀寰,李国才.MIMO中微小区空时相关信道模型的相关性分析[J].系统工程与电子技术,2006,28(7):973-976. 被引量:2
  • 10Abdi A, Barger J A, and Kaveh M. A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station[J]. IEEE Trans. on Veh. Technol., 2002, 51(1): 425- 434.

二级参考文献23

  • 1JohnGProkis.数字通信(第四版)[M].北京:电子工业出版社,2003.579-580.
  • 23GPP TSG RAN WG1. Recommeded simulation parameters for Tx diversity simulations[R]. TSG R1 # 14(00) 0867, 2000.
  • 3G J Foschini and M J Gans. On limits of wireless communication in a fading environment when using multiple antennas[J]. Wireless Personal Commun, 1998,6(3) : 311-335.
  • 4D S Shiu, G J Foschini, M J Gans, et al. Fading correlation and its effect on capacity of multielement antenna systems[J]. IEEE Trans. Commun, 2000,48(3): 502-513.
  • 5W C Jakes. Microwave mobile communications[M].New York : Wiley, 1974,P60-65.
  • 6W C Y Lee. Effects on correlation between two mobile radio base antennas[J]. IEEE Trans. Commun, 1973,21(11): 1214-1224.
  • 73GPP SCM-132 , spatial channel model text description[S]. 2003-11-6.
  • 8Andreas F Molisch.A generic model for MIMO wireless propagation channels[C]// IEEE International Conference on Communication,2002:655-659.
  • 9Winters J H.On the capacity of radio communications systems with diversity in Rayleigh fading environments[J].IEEE J.Selected Areas Comm.,1987,5(5):871-878.
  • 10Foschini G J,Gans M J.On limits of wireless communications in a fading environment when using multiple antennas[J].IEEE Wireless Personal Communications,1998,6(1):311-335.

共引文献30

同被引文献47

  • 1王自力,龚耀寰.MIMO宏小区窄带信道模型的相关性能分析[J].电波科学学报,2005,20(1):37-42. 被引量:14
  • 2魏旻,龚耀寰,李国才.MIMO中微小区空时相关信道模型的相关性分析[J].系统工程与电子技术,2006,28(7):973-976. 被引量:2
  • 3罗振东,高宏,刘元安,高锦春.MIMO信道容量公式及其渐近界[J].北京邮电大学学报,2006,29(6):72-76. 被引量:13
  • 4Faschini G J. Layered space - time Architecture for wireless communication in fading environment when using multiple antennas [ J ]. Bell Labs Technical Journal, 1996 (2) :41 -59.
  • 5Telatar I E. Capacity of multi - antenna Gaussian channels [J]. Euro Trans Tele - commun. , 1999,10(6) :585 - 595.
  • 6Faschini G J, Gans M J. On limits of wireless communications in fading environment when using multiple - antennas [ J ]. Wireless Personal Communications, 1998,6 ( 3 ) : 311 -335.
  • 7Grant A. Rayleigh fading multiple - antenna channels [J]. Journal on Applied Signal Processing( EURASIP), 2002(3) :316 -329.
  • 8Dohler M, Aghvami H. On the approximation of MIMO capacity [ J ]. IEEE Trans. Wireless Commun. , 2005,4 ( 1 ) :30 - 34.
  • 9Smith P, Shaft M. An approximate capacity distribution for MIMO systems [ J ]. IEEE Trans Commun. ,2004,52 ( 6 ) : 887 - 89.
  • 10Lu J ,Tjhung T T, Chai C C. Error probability performance of L - branch diversity reception of MQAM in Rayleigh fading[ J ]. IEEE Trans. Commun., 1998,46 ( 2 ) : 179 - 181.

引证文献5

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部