Strategy of Anti-Interference Based on Cognitive Radio in Ultra-Wideband System

It is a challenging problem in the ultra-wideband (UWB) system to be interfered by narrowband wireless systems or to interfere narrowband wireless systems. Cognitive radio technology has a ability to learn and sense the radio environment. It would detect the spectrum used and enables UWB system to avoid the interference. This paper addresses the strategy of anti-interference in UWB system based on interaction with the environment in which it operates. There are two operations to avoid the interference, sensing technology and interleaving-coding technology. The model of the UWB system is described and the steps of spectrum sensing are analyzed. Furthermore, the interleaving-coding is proposed to suppress the undetected interference. Simulating results showed that the interleaving and coding provide about 5 dB to 10 dB advantages over the conventional UWB system in signal-to-interference ratio.

[1]  Wai Ho Mow,et al.  Robust joint interference detection and decoding for OFDM-based cognitive radio systems with unknown interference , 2007, IEEE Journal on Selected Areas in Communications.

[2]  Robert W. Brodersen,et al.  Detect and avoid: an ultra-wideband/WiMAX coexistence mechanism [Topics in Radio Communications] , 2007, IEEE Communications Magazine.

[3]  R Chin Anti-interference ultra-wideband system based on spreading and interleaving , 2007 .

[4]  K. Witrisal,et al.  Modeling and Mitigation of Narrowband Interference for Transmitted-Reference UWB Systems , 2007, IEEE Journal of Selected Topics in Signal Processing.

[5]  I.D. O'Donnell,et al.  Spectrum sharing radios , 2006, IEEE Circuits and Systems Magazine.

[6]  Honggang Zhang,et al.  Cognitive ultra wide band radio: a research vision and its open challenges , 2005, 2nd International Workshop Networking with Ultra Wide Band and Workshop on Ultra Wide Band for Sensor Networks, 2005. Networking with UWB 2005..

[7]  Yi Zhou,et al.  Impacts of Narrowband Interference on OFDM-UWB Receivers: Analysis and Mitigation , 2007, IEEE Transactions on Signal Processing.

[8]  M. Sablatash Adaptive and Cognitive UWB Radio and a Vision for Flexible Future Spectrum Management , 2007, 2007 10th Canadian Workshop on Information Theory (CWIT).

[9]  R.W. Brodersen,et al.  Cognitive Technology for improving Ultra-Wideband (UWB) Coexistence , 2007, 2007 IEEE International Conference on Ultra-Wideband.