Handling unknown NBI in IR-UWB system used in biomedical wireless sensor networks

Impulse radio-ultra wideband (IR-UWB) communication technique is considered as a strong candidate for short range biomedical wireless sensor networks (BWSN). Coexistence with other systems in the ISM band is important, where narrow band interference (NBI) can become a threat to this system. This paper proposes a method to increase robustness of IR-UWB system in the existence of NBI. This method takes the advantage of using both FEC coding and frequency interleaving technique. One of the features of the proposed system is that it performs well in an environment with unknown NBI. Comparisons between single-band and multi-band signaling schemes are given. Simulation results show that the proposed multi-band scheme performs well in existence of NBI and provides about 3.5 dB gain in comparison to single-band scheme with the same configuration, where the NBI to AWGN energy ratio equals 30 dB.

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

[2]  Ian Oppermann,et al.  UWB Theory and Applications: Oppermann/UWB: Theory and Applications , 2005 .

[3]  Sandeep K. S. Gupta,et al.  Research challenges in wireless networks of biomedical sensors , 2001, MobiCom '01.

[4]  Wei Liu,et al.  A novel solution to power problems in implanted biosensor networks , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Christofer Toumazou,et al.  Ultra-low power UWB for real time biomedical wireless sensing , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[6]  Zhi Ding,et al.  A novel ultra-wideband pulse design algorithm , 2003, IEEE Communications Letters.

[7]  Zhi Ning Chen,et al.  Ultra Wideband Wireless Communication: Arslan/Ultra Wideband Wireless Communication , 2006 .

[8]  Yuanan Liu,et al.  A new UWB pulse design method for narrowband interference suppression , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[9]  Ian Oppermann,et al.  UWB theory and applications , 2004 .

[10]  Laurence B. Milstein,et al.  Spectral-encoded UWB communication systems: real-time implementation and interference suppression , 2005, IEEE Transactions on Communications.