Performance Analysis of Correlated Channel for UWB-MIMO System

Ultrawideband (UWB) communication has attracted great interest during the last two decades. Simultaneously, MIMO systems occupied the same attraction. Due to high data rate communication the spectral efficiency increases in spatially multiplexed (SM) multiple-input multiple-output (MIMO) systems. In this paper, the concept and techniques of MIMO has been extended to UWB systems. But, the impact of the spatial correlation requires estimation on the performance of the spatial multiplexing SM-UWB-MIMO system. Another issue is the performance degrades in the presence of high values of spatial correlation. To mitigate such problem, researchers have worked with various methods. Though it has been done to some extent, still it has been designed for virtual UWB-MIMO Time Reversal (TR) system for verification in initial stage. Another novel method also introduced to reduce the effect of correlation. It has been chosen by taking the Eigen value of the channel matrix for the computation of the system performance. The result shows its performance.

[1]  Khaled Ben Letaief,et al.  From the outgoing Editor-in-Chief / from the incoming Editor-in-Chief , 2007, IEEE Transactions on Wireless Communications.

[2]  Brian M. Sadler,et al.  Reduced-complexity UWB time-reversal techniques and experimental results , 2007, IEEE Transactions on Wireless Communications.

[3]  Feng Zheng,et al.  Preequalizer Design for Spatial Multiplexing SIMO-UWB TR Systems , 2010, IEEE Transactions on Vehicular Technology.

[4]  David J. Edwards,et al.  Measured MIMO Capacity and Diversity Gain With Spatial and Polar Arrays in Ultrawideband Channels , 2007, IEEE Transactions on Communications.

[5]  Feng Zheng,et al.  Antenna Selection for Time Reversal MIMO UWB Systems , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[6]  J. Foerster,et al.  Channel modeling sub-committee report final , 2002 .

[7]  Michael A. Jensen,et al.  MIMO Wireless Channel Modeling and Experimental Characterization , 2005 .

[8]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[9]  K. J. Ray Liu,et al.  Green Wireless Communications: A Time-Reversal Paradigm , 2011, IEEE Journal on Selected Areas in Communications.

[10]  Andreas F. Molisch,et al.  Channel models for ultrawideband personal area networks , 2003, IEEE Wireless Communications.

[11]  Koen Van Den Abeele,et al.  The vibration dipole: A time reversed acoustics scheme for the experimental localisation of surface breaking cracks , 2012 .

[12]  Thomas Kaiser,et al.  On the Performance of the Time Reversal SM-MIMO-UWB System on Correlated Channels , 2012 .

[13]  Sergey L. Loyka,et al.  Channel capacity of MIMO architecture using the exponential correlation matrix , 2001, IEEE Communications Letters.

[14]  Z. Irahhauten,et al.  An overview of ultra wide band indoor channel measurements and modeling , 2004, IEEE Microwave and Wireless Components Letters.

[15]  Wasim Q. Malik.  Spatial correlation in ultrawideband channels , 2008, IEEE Transactions on Wireless Communications.

[16]  Alex B. Gershman,et al.  Space-time processing for MIMO communications , 2005 .

[17]  Feng Zheng,et al.  An Overview of Ultra-Wide-Band Systems With MIMO , 2009, Proceedings of the IEEE.

[18]  Takuya Shimura,et al.  Time-reversal communication in deep ocean — Results of recent experiments , 2011, 2011 IEEE Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies.

[19]  Sikha Mishra,et al.  Design of MCM based wireless system using wavelet packet network & its PAPR analysis , 2013, 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT).

[20]  Thomas Kaiser,et al.  Spatial correlation in SM-MIMO-UWB systems using a pre-equalizer and pre-rake filter , 2010, 2010 IEEE International Conference on Ultra-Wideband.

[21]  Amir Asif,et al.  Time Reversal Based Active Array Source Localization , 2011, IEEE Transactions on Signal Processing.