Multiple-input multiple-output ultra-wide band channel modelling method based on ray tracing

In this work, the authors have developed a deterministic Ultra Wide Band (UWB) channel model for indoor environment using both ray-tracing technique and the art of computer game technology in 3D Game Studio (game development tool). In the developed model, the characteristics of indoor environment such as texture, transparency etc. can be taken into consideration while indoor parameters such as room size, objects position etc. can be interactively changed. Each time, indoor environment is changed, the program is compiled and hence, the underlying ray-tracing captures the updated indoor environment. It is the key novelty of the authors’ developed model and it has been so incorporated to make the authors’ model independent of any fixed (pre-defined) indoor environment. The developed model is compared against the standard statistical UWB channel model based on certain parameters such as delay spread etc. to address its validity and accuracy. The model is then enhanced to use multiple antennas on both sides of the system and capture the channel response accordingly. Finally, the developed model has been tested over a range of frequencies to see frequency effect on the channel impulse response. The simulation results have been presented and discussed in the simulation section.

[1]  A. Robert Calderbank,et al.  MIMO Wireless Communications , 2007 .

[2]  David Irvine Laurensen Indoor radio channel propagation modelling by ray tracing techniques , 1994 .

[3]  A. Robert Calderbank,et al.  Space-time codes for high data rate wireless communication: performance criteria , 1997, Proceedings of ICC'97 - International Conference on Communications.

[4]  Andreas F. Molisch,et al.  A UWB channel model for ultrawideband indoor communication , 2003 .

[5]  Aki Silvennoinen,et al.  Unlicensed reuse of licensed spectrum : case UWB , 2004 .

[6]  Seong-Cheol Kim,et al.  Frequency-Dependent UWB Channel Characteristics in Office Environments , 2009, IEEE Transactions on Vehicular Technology.

[7]  T. Oguchi Electromagnetic wave propagation and scattering in rain and other hydrometeors , 1983, Proceedings of the IEEE.

[8]  Constantine A. Balanis,et al.  Electromagnetic geophysical imaging incorporating refraction and reflection , 1981 .

[9]  Andreas F. Molisch,et al.  Ultra-Wide-Band Propagation Channels , 2009, Proceedings of the IEEE.

[10]  Rainer Moorfeld,et al.  Low Complexity Low Data Rate UWB Devices – Architecture and Performance Comparison , 2005 .

[11]  A. Safaai-Jazi,et al.  Simulation of ultra‐wideband indoor propagation , 2004 .

[12]  David J. Edwards,et al.  Performance Analysis of Ultra-Wideband Spatial MIMO Communications Systems , 2005 .

[13]  John A. Gubner,et al.  A point-process analysis of Spencer’s space-time extension of the IEEE 802.15.3a UWB channel model , 2007, 2007 Wireless Telecommunications Symposium.

[14]  John A. Gubner,et al.  Theoretical Performance Analysis of the IEEE 802.15.3a UWB Channel Model , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[15]  Zhi Ning Chen,et al.  Ultra Wideband Wireless Communication , 2005 .

[16]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[17]  Liuqing Yang,et al.  Space-time coding for impulse radio , 2002, 2002 IEEE Conference on Ultra Wideband Systems and Technologies (IEEE Cat. No.02EX580).

[18]  Chi Hou Chan,et al.  On the analysis of statistical distributions of UWB signal scattering by random rough surfaces based on Monte Carlo simulations of Maxwell equations , 2004, IEEE Transactions on Antennas and Propagation.