期刊文献+

A Study on The Multi-Antenna Geometrical Depolarization Channel Modeling 被引量:2

A Study on The Multi-Antenna Geometrical Depolarization Channel Modeling
在线阅读 下载PDF
导出
摘要 The traditional geometrical depolarization model that single transmitter to single receiver provides a simple method of polarization channel modeling. It can obtain the geometrical depolarization effect of each path if known the antenna configuration, the polarization field radiation pattern and the spatial distribution of scatters. With the development of communication technology, information transmission spectrum is more and more scarce. The original model provides only a single channel polarization state, so the information will be limited that the polarization state carries in the polarization modulation. The research is so significance that how to carries polarization modulation information by using multi-antenna polarization state. However, the present study shows that have no depolarization effect model for multi-antenna systems. In this paper, we propose a multi-antenna geometrical depolarization model. On the basis of a single antenna to calculate the depolarization effect of the model, and through simulation to analysis the main factors that influence the depolarization effect. This article provides a multi-antenna geometrical depolarization channel modeling that can applied to large-scale array antenna, and to some extent increase the speed of information transmission. The traditional geometrical depolarization model that single transmitter to single receiver provides a simple method of polarization channel modeling. It can obtain the geometrical depolarization effect of each path if known the antenna configuration, the polarization field radiation pattern and the spatial distribution of scatters. With the development of communication technology, information transmission spectrum is more and more scarce. The original model provides only a single channel polarization state, so the information will be limited that the polarization state carries in the polarization modulation. The research is so significance that how to carries polarization modulation information by using multi-antenna polarization state. However, the present study shows that have no depolarization effect model for multi-antenna systems. In this paper, we propose a multi-antenna geometrical depolarization model. On the basis of a single antenna to calculate the depolarization effect of the model, and through simulation to analysis the main factors that influence the depolarization effect. This article provides a multi-antenna geometrical depolarization channel modeling that can applied to large-scale array antenna, and to some extent increase the speed of information transmission.
出处 《China Communications》 SCIE CSCD 2016年第3期105-114,共10页 中国通信(英文版)
基金 supported in part by the National Natural Science Foundation of China(61561039,61461044) the Natural Science Foundation of Ningxia(NZ14045) the Higher School Science and Technology Research Project of Ningxia(NGY2014051)
关键词 large-scale array antenna multi-antenna channel modeling depolarization effect cross polarization discrimination 去极化作用 多天线系统 信道建模 几何 极化模型 信息传输 偏振状态 建模方法
作者简介 SUN Xuehong, received his M.S. degrees from Ningxia University, Yinchuan, China, in 2008. He is currently a Ph.D. candidate at Beijing University of Post and Telecommunications, Beijing, China. He is currently an Associate Professor in the School of Physics Electrical Engineering at Ningxia University and a member of China Institute of Communications, too. His current research interests are in the areas of wireless communications and networks, with an emphasis on cognitive radios and wireless channel modeling, TD-LTE, MIMO, OFDM etc. the corresponding author, Email: nxsunxh@163.com.YANG Xiaoli, received her B.S. degree from Hubei University, China, in 2013. She is currently pursuing the M.S. degree in Circuits and Systems, at the Ningxia University, Yinchuan, China. Her current research interests are in the areas of wireless communications and networks, with an emphasis on cognitive radios and wireless channel modeling. Email: yangxiaolinx @163.com.ZENG Zhimin, received the B.S. degree in Carrier Communication, the M.S. degree in Communication and Electronic Systems, and the Ph.D. degree in Com- munication and Information Systems, all from Beijing University of Posts and Telecommunication, Beijing, China. He is currently a Professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications. Prof. Zeng is a senior member of China Institute of Communications, advanced member of Chinese Institute of Electronics, and member of Academic Committee of BUPT. His current research interests include theory and technology of next generation mobile and wireless networks. Email: zengzm@bupt.edu.cn.ZHANG Cheng, received the M.S. degree in Northwestern Polytechnical University, Xi'an, China. He is currently an Professor in the School of Physics Electrical Engineering at Ningxia University. His research interests are in the areas of wireless communications and networks, with an emphasis on spectrum sharing and cognitive radios. Email: liuliping8186@126.com.BAI Bing. received his B.S. degree from Jinan University, China, in 2013. He is currently pursuing the M.S. degree in Circuits and Systems, at the Ningxia University, Yinchuan, China. His current research interests are in the areas of signal processing, image processing and pattern recognition. Email: fengsubaibing @163.com.
  • 相关文献

参考文献20

  • 1Oestges and B. Clerckx and L. Raynaud and D. V. Janvier, "Deterministic channel modeling and performance simulation of microcellular wide- band communiacation systems," IEEE Trans. Veh. Technol, vol. 51, no. 6, pp.1422-1430,Oct. 2002.
  • 23GPP TR 25.996-610, Spatial Channel Model for MIMO Simulations.
  • 3R Kyosti and J. Meinila and L. Hentila and X. Zhao and TJams and C. Schneider and M. Narandzic and M. Milojevic and A. Hong and J. Ylitalo and V. M. Holappa and M. Alatossava and R. Bultitude and Y. de Jong and T. Rau- tianinen,IST-4-02-027756 Winner Ⅱ,D 1.1.2. V. 1.1 Winner II Channel Models, 2006.
  • 4C. Oestges, B. Clerckx, M. Guillaud, M Debbah, "Dual-Polarized Wireless Communications: From Propagation Models to System Perfor- mance Evaluation," IEEE Trans. Wireless Com- mun., vol. 7,no. 10,pp. 4019-4031,Oct. 2008.
  • 5Akhoondzadeh-Asl, L. Hall, RS. Nechayev, Y. Khan, I. "Depolarization in On-Body Commu- nication Channels at 2.45 GHz"Antennas and Propagation, IEEE Transactions on, vol.61, pp. 882 - 889, 2013.
  • 6J. Hamalainen, R. Wichman, J. Nuutinen, J. Ylita- Io, and T. Jamsa, "Analysis and measurements for indoor polarization MIMO in 5.25 GHz band", IEEE 61st Vehicular Technology Conf., pp. 252-256, May 2005.
  • 7W. Kotterman, M. Landmann, G. Sommerkorn,and R. Thoma, "Power ratios and distributions in indoor NLOS channels for dual-polarized 2x2 MIMO systems", Proc. NEWCOM-ACoRN Joint Workshop, Vienna, Austria, Sept. 2006.
  • 8R. Vaughan, "Polarization diversity in mobile communications", IEEE Trans. Veh. Technol., vol. 9, no. 3, pp. 177-186, Mar. 1990.
  • 9F. Lotse, J. Berg, et al, "Base station polarization diversity reception in macrocellular systems at 1800 MHz", IEEE 46th Vehicular Technology Conf., pp. 1643-1646, 1996.
  • 10G. E. Athanasiadou and A. R. Nix, "A novel 3-D indoor ray-tracing propagation model: the path generator and evaluation of narrow-band and wide-band predictions", IEEE Trans. Vehicular Technology, vol. 49, no.4, pp. 1152-1167, July, 2000.

同被引文献15

引证文献2

二级引证文献10

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