Research Article
New Robust Sensing Methods for DVB-T Signals
@INPROCEEDINGS{10.4108/icst.crowncom.2011.245866, author={Chunyi Song and M. Azizur Rahman and Hiroshi Harada}, title={New Robust Sensing Methods for DVB-T Signals}, proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={5}, keywords={spectrum sensing; tv white space; dvb-t; cognitive radio}, doi={10.4108/icst.crowncom.2011.245866} }
- Chunyi Song
M. Azizur Rahman
Hiroshi Harada
Year: 2012
New Robust Sensing Methods for DVB-T Signals
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2011.245866
Abstract
The regulations for operation in the TV white space (TVWS) have been developed and released in USA and UK. It is believed that the ongoing TVWS related standardization projects, such as IEEE P802.19.1, IEEE P802.11af and IEEE P802.22, will encourage the regulation development in more countries and regions. Current regulations commonly require the TV band device (TVBD) or the sensing only TVBD to be capable of detecting incumbent TV signals of very low power level within a short time. To fulfill the strict requirements on both of sensitivity and sensing time while keeping the hardware implementation cost below a desired level, we propose two new sensing methods for DTV signals of DVB-T standard: the optimal one requires time synchronization and is therefore called The ProposedSyn while the sub-optimal one requires no time synchronization and is called The ProposedAsyn. Both computer simulation results and hardware testing results are shown in this paper. Simulation results show that for achieving a goal of high detection probability (≥90%) and low false alarm probability (≤1%) at a very low SNR (=-20dB) in AWGN channel, in comparison with conventional sensing methods, The Proposed_Syn reduces sensing time by 50% and both proposed methods can significantly reduce hardware implementation cost by potentially reducing multiplexer number more than 99%. Hardware sensing prototype testing results have further verified the improved performance by using the proposed sensing methods.