Pre-distortion schemes for MISO single-user ultra-wideband systems

This paper presents a performance analysis of a baseband multiple-input single-output (MISO) ultra-wideband system (UWB) over the scenarios CM1 and CM3 of the IEEE 802.15.3a channel model, incorporating three different schemes of pre-distortion: time reversal (TR), constrained least squares (CLS) pre-equalizer, and minimum mean square error (MMSE) pre-equalizer. For the second case, a simple cost function for the pre-equalization problem is considered and a simple solution based on the steepest descent (gradient) algorithm is adopted and compared to theoretical results. The channel estimations at the transmitter are assumed to be truncated and noisy. Results show that the CLS algorithm has a good trade-off between intersymbol interference (ISI) reduction and signal-to-noise ratio (SNR) preservation, providing a performance compared to the MMSE method.

[1]  Zhiwei Lin,et al.  Kronecker Modelling for Correlated Shadowing in UWB MIMO Channels , 2007, 2007 IEEE Wireless Communications and Networking Conference.

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

[3]  George Papanicolaou,et al.  Optimally Designed Time Reversal and Zero Forcing Schemes , 2005 .

[4]  Arogyaswami Paulraj,et al.  Application of time-reversal with MMSE equalizer to UWB communications , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[5]  Robert Schober,et al.  Pre-equalization for MISO DS-UWB systems with pre-Rake combining , 2009, IEEE Transactions on Wireless Communications.

[6]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[7]  W.S. Hodgkiss,et al.  Improvement of MISO Single-User Time Reversal Ultra-Wideband Using a DFE Channel Equalizer , 2008, 2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications.

[8]  Chenming Zhou,et al.  Time Reversal With MISO for Ultrawideband Communications: Experimental Results , 2006, IEEE Antennas and Wireless Propagation Letters.

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

[10]  Arumugam Nallanathan,et al.  Performance Analysis of Prerake DS UWB Multiple Access System Under Imperfect Channel Estimation , 2007, IEEE Transactions on Wireless Communications.

[11]  Brian M. Sadler,et al.  Performance Study on Time Reversed Impulse MIMO for UWB Communications Based on Measured Spatial UWB Channels , 2007, MILCOM 2007 - IEEE Military Communications Conference.

[12]  Gene H. Golub,et al.  Matrix computations , 1983 .

[13]  Hung Tuan Nguyen,et al.  A Time Reversal Transmission Approach for Multiuser UWB Communications , 2006, IEEE Transactions on Antennas and Propagation.

[14]  H.C. Song,et al.  Improvement of Time-Reversal Communications Using Adaptive Channel Equalizers , 2006, IEEE Journal of Oceanic Engineering.

[15]  P. Kyritsi,et al.  Time Reversal and Zero-Forcing Equalization for Fixed Wireless Access Channels , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[16]  Nan Guo,et al.  Time reversal with MISO for ultra-wideband communications: experimental results , 2006, 2006 IEEE Radio and Wireless Symposium.