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室内多径信道的三维宽带多极化测量方法 被引量:1

Measurement of indoor multi-polarized MIMO channel
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摘要 针对室内多径信道的特点,提出了一种可对室内多径信道进行三维宽带多极化测量的方法,并设计制作了三维宽带多极化测量系统,利用该系统对典型室内环境的多径信道进行了测量。测量系统的发射端和接收端天线阵列各由一组虚拟的多极化天线阵列构成,多径信道的频域响应由矢量网络分析仪测量得到。利用此系统对典型室内环境中多径信道进行的三维多极化测量结果表明,不同极化方式的电磁波在相同多径环境中的传播特性有明显差异。在不同的测量位置,包括直射和非直射的多径条件下,不同极化的多径信道之间相关系数都很低,证明可以利用不同极化方式多径信道的不相关在室内环境中构建极化分集的MIMO系统。 To study the characteristics of the indoor multi-path channel,a method focused on the three-dimensional multi-polarized wideband MIMO channel measurement for indoor multi-path channel is presented,The system were designed and equipped,and the measurement experiments were carried to demonstrate the validity of the method and study the characteristics of the indoor multi-path channel.Virtual antenna arrays were used in the transmitter and receiver of the system respectively.A vector network analyzer was used to measure the frequency response of the channel.The propagation characteristics of different polarized channels were measured in a typical indoor environment using this system,and the results show that the propagation characteristics of different polarized signals in the same environment are greatly different.It is indicated that the correlations of multi-path channel employed different polarization are low,and the polarization MIMO system is practicable and valuable in indoor environment for the differences of the channels with different polarization.
出处 《电子测量与仪器学报》 CSCD 2010年第8期737-742,共6页 Journal of Electronic Measurement and Instrumentation
基金 国家重点基础研究发展规划项目(编号:2009CB320205) 国家科技重大专项课题(编号:2009ZX03007-003) 国家863计划项目资助课题(编号:2009AA011503) 国家自然科学基金(编号:60771009) 清华大学传信基金
关键词 信道测量 室内多径信道 多入多出技术 极化分集 多极化 channel measurement indoor multi-path channel MIMO(multiple-input–multiple-output) polarization diversity multi-polarization
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参考文献15

  • 1PAULRAIAJ, GOREDA, NABARRU, et al. An overview of MIMO communications [C]. A Key to Gigabit Wireless, 2004, 92(2): 198-218.
  • 2CHAE S H, CHOI M G, PARK S O. The realization and analysis of polarization diversity in WiBro MIMO antenna [C]. IEEE Antennas and Propagation International Symp., 2007: 2409-2412.
  • 3ELNAGGAR M, SAFAVI N S, CHAUDHURI S. Site-specific MIMO channel optimization using adaptive polarization [C]. IEEE Radio and Wireless Symp., 2006: 419-422.
  • 4李军,何子述,叶胜辉.正交波形MIMO雷达信噪比分析[J].电子测量与仪器学报,2009,23(6):42-46. 被引量:14
  • 5LIENARD M, DEGAUQUE P, BAUDET J, et al. Investigation on MIMO channels in subway tunnels [J]. IEEE J. Seleet Areas Commun, 2003, 21: 332-339.
  • 6王燚,郭伟.一种用于MIMO系统的动态信道估计技术研究[J].电子测量与仪器学报,2008,22(4):39-43. 被引量:5
  • 7郑植,李广军,滕云龙.一种相干分布源二维中心DOA估计方法[J].电子测量与仪器学报,2009,23(12):21-26. 被引量:6
  • 8CHIZHIK D, LING J, WOLNIANSKY P W, et al. Multiple-input-multiple-output measurements and modeling in Manhattan [J]. IEEE J. Select Areas Commun., 2003, 21: 321-331.
  • 9KOLMONEN V M. A Dynamic dual-link wideband MIMO channel sounder for 5.3 GHz [J]. IEEE Trans. on Instrumentation and Measurement, 2010, 59(4): 873- 883.
  • 10MCNAMARA D, BEACH M, FLETCHER P, et al. Capacity variation of indoor multiple-input multiple-output channels [J]. Electronics Lett., 2000, 36(24): 2037-2038.

二级参考文献22

  • 1何子述,韩春林,刘波.MIMO雷达概念及其技术特点分析[J].电子学报,2005,33(B12):2441-2445. 被引量:97
  • 2RABIDEAU D. Ubiquitous MIMO digital array radar [C]. Proceeding of the Asilomar Conference on Signals, Systems and Computers, 2003, Vol.1: 1057-1064.
  • 3ROBEY F C, COUTTS S, WEIKLE D C, et al. MIMO radar theory and experimental results [C]. Conference Record of the 38th Asilomar Conference on Signals,Systems and Computers, 2004, 1: 300-304.
  • 4FISHLER E.MIMO radar, An idea whose time has come [C]. Proceeding of the IEEE Radar Conference, 2004: 71-78.
  • 5Tabrikian B. Target detection and localization using MIMO radars and sonars [J]. IEEE Trans On signal processing, 2006, 54(10): 3873-3883.
  • 6LIU B, HE Z SH, ZENG J K. Receiving signal processing of mimo radar based on transmitting diversity [C]. Proc. 6th IEEE Inter. Conf. ITS Telecommunications (ITST'06), June 2006: 1224-1227.
  • 7DAI X Z, XU J, YE CH M, Peng Y N. Low-side lobe HRR profiling based on the FDLFM-MIMO radar Synthetic Aperture Radar [C]. APSAR 2007. 1st Asian and Pacific Conference, 2007: 132-135.
  • 8SUN Q, COS D C, HUANG H C, et al, Estimation of continuous flat fading MIMO channels [ J ]. IEEE Trans on Wireless Communication, 2002,1 (10) : 549 - 553.
  • 9BALTERSEE J, FOCK G, MEYRH, Achievable rate of MIMO channels with data-aided channel estimation and perfect inter- leaving[ J]. IEEE Journal on Selected Areas in Communication, 2001,19(10) : 2358 - 2368.
  • 10KOMNINAKIS C, FRAUILI C, SAYED A, et al, Multiinput multi-output fading channel tracking and equalization using kalman estimation [ J ]. IEEE Trans on Signal Processing, 2002,50(5):1065 - 1076.

共引文献22

同被引文献13

  • 1费丹,熊磊,吴建强.基于软件无线电的无线信道仿真仪设计与实现[J].仪器仪表学报,2013,34(S1):93-98. 被引量:26
  • 2RUSEK F, PERSSON D, LAU B K, et al. Scaling up MIMO: Opportunities and challenges with very large arrays-J]. Signal Proeessing Magazine, IEEE, 2013, 30(1).. 40-60.
  • 3LARSSON E G, EDFORS O, TUFVESSON F, et al. Massive MIMO for next generation wireless systems-J], arXiv preprint arXiv.. 1304. 6690, 2013.
  • 4MARZETTA T L. Noncooperative cellular wireless with unlimited numbers of base station antennas[J]. Wireless Communications, IEEE Transactions on, 2010, 9(11): 3590-3600.
  • 5PAYAMI S, TUFVESSON F. Channel measureme-nts and analysis for very large array systems at 2. 6 GHzEC3. Antennas and Propagation (EUCAP), 2012 6th European Conference on. IEEE, 2012.. 433-437.
  • 6GAO X, TUFVESSON F, EDFORS (), et al. Mea- sured propagation characteristics for very-large MIMO at 2. 6 GHz E C]. Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on. IEEE, 2012: 295-299.
  • 7MASOUROS C, SELLATHURAI M, RATNARAJ- AH T. Large-scale MIMO transmitters in fixed physical spaces: The effect of transmit correlation and mutual coupling [ J ]. Communications, IEEE Transactions on, 2013, 61(7): 2794-2804.
  • 8ARTIGA X, DEVILLERS B, PERRUISSEAU- CARRIER J. Mutual coupling effects in multi-user massive MIMO base stations [C]. Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE. IEEE, 2012.. 1-2.
  • 9WANG C, MURCH R D. Adaptive downlink multi- user MIMO wireless systems for correlated channels with imperfect CS[J]. Wireless Communications, IEEE Transactions on, 2006, 5(9): 2435-2446.
  • 10VISHWANATH S, JINDAL N, GOLDSMITH A. Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels[J]. Information Theory, IEEE Transactions on, 2003, 49(10) : 2658- 2668.

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