Modeling of Time-varying Ultra Wideband Multiple-input Multiple-output Channel

被引:0
|
作者
Zahedi, Yasser [1 ]
Chude-Okonkwo, Uche A. K. [1 ]
Ngah, Razali [1 ]
Zahedi, Khalid [2 ]
Nunoo, Solomon [1 ]
机构
[1] Univ Teknol Malaysia, WCC, Fac Elect Engn, Utm Johor Bahru 81310, Johor, Malaysia
[2] Univ Teknol Malaysia, Fac Comp, UTM Johor Bahru, Johor Baharu 81310, Johor, Malaysia
来源
JURNAL TEKNOLOGI | 2013年 / 64卷 / 03期
关键词
MIMO channel; UWB communication; tensor; time-varying;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Ultra wideband (UWB) communication is a promising technology for achieving high data rate wireless communications. UWB transmission can be operated in the range of 3.1 to 10.6 GHz with low transmission power to prevent interference with other wireless systems. However, the low transmission power of the UWB signal limits the coverage distance of the UWB system. By using diversity techniques such as the multiple-input multiple-output (MIMO) scheme, enhancement in the communication range can be obtained without compromising data rate. For the purposes of system and network design, it is always important to understand the behavior of the MIMO - UWB channel through modeling. In this paper, we propose a method to derive the synthesis equation for the time-varying MIMO-UWB channel in the time scale-domain. The channel modeling is based on the MIMO correlative modeling approach. The channel operator is represented as a fourth order tensor and the synthesis equation is derived and illustrated. The UWB correlation matrix was plotted for the stationary situation. The results show the importance of the off-diagonal channel correlation elements on the MIMO-UWB channel.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Hardware Emulation of Wideband Correlated Multiple-Input Multiple-Output Fading Channels
    Ren, Fei
    Zheng, Yahong Rosa
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2012, 66 (03): : 273 - 284
  • [32] Building antenna characteristics into multiple-input and multiple-output channel simulation
    Hui, Hon Tat
    Wang, Xuan
    INTERNATIONAL JOURNAL OF ELECTRONICS, 2010, 97 (06) : 703 - 714
  • [33] Statistical characterization of multiple-input multiple-output (MIMO) channel capacity
    Ge, H
    Wong, KD
    Barton, M
    Liberti, JC
    WCNC 2002: IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE RECORD, VOLS 1 & 2, 2002, : 789 - 793
  • [34] A Study of Multiple-Input Multiple-Output Radar
    Chen, Juan
    Zeng, Dazhi
    Long, Teng
    2008 INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2, 2008, : 545 - 549
  • [35] Blind channel estimation and equalization of multiple-input multiple-output channels
    Tugnait, JK
    Huang, B
    1999 IEEE INTERNATIONAL CONFERENCE ON PERSONAL WIRELESS COMMUNICATIONS, 1999, : 231 - 235
  • [36] Blind channel estimation and equalization of multiple-input multiple-output channels
    Auburn Univ, Auburn, United States
    ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, (2707-2710):
  • [37] Advantages of Multiple-Input Multiple-Output Testing
    Peres, M. A.
    Kallmeyer, C.
    Witter, M. C.
    Carneiro, R.
    Marques, F. D.
    de Oliveira, L. P. R.
    SOUND AND VIBRATION, 2015, 49 (08): : 8 - 12
  • [38] Multiple-Input Multiple-Output Circular SAR
    Ponce, Octavio
    Rommel, Tobias
    Younis, Marwan
    Prats, Pau
    Moreira, Alberto
    2014 15TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2014,
  • [39] Hardware Emulation of Wideband Correlated Multiple-Input Multiple-Output Fading Channels
    Fei Ren
    Yahong Rosa Zheng
    Journal of Signal Processing Systems, 2012, 66 : 273 - 284
  • [40] Multipoint Channel Charting with Multiple-Input Multiple-Output Convolutional Autoencoder
    Geng, Chunhua
    Huang, Howard
    Langerman, Jack
    2020 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2020, : 1022 - 1028