Paper Info
Title
Matched filter based spectrum sensing and power level detection for cognitive radio network
Abstract
In this paper, we study the matched filter based spectrum sensing in a more reasonable cognitive radio (CR) scenario when the primary user (PU) could possibly work on more than one transmit power levels. Besides the traditional sensing target where the secondary user (SU) should decide the presence of PU, an additionally new target here could be also recognizing the power levels of PU, which achieves more "cognition" for CR. We derive the closed form solutions for decision regions and several performance metrics, from which some interesting phenomenons are observed and the related discussions are provided. Numerical examples are presented to corroborate the proposed studies.
Year
DOI
Venue
2014
10.1109/GlobalSIP.2014.7032326
GlobalSIP
Keywords
DocType
Citations 
multiple hypothesis testing,matched filters,power recognition,matched filter,cognitive radio,pu,cognitive radio network,power level detection,primary user,secondary user,spectrum sensing,decision regions,matched filter based spectrum sensing,su,signal detection,performance metrics,signal to noise ratio,sensors
Conference
9
PageRank 
References 
Authors
0.49
5
3
Name
Order
Citations
PageRank
Xinzhi Zhang193.19
Rong Chai29826.90
Feifei Gao33093212.03