Title
Double-threshold cooperative detection for cognitive radio based on weighing
Abstract
In cognitive radio (CR), single-threshold detection is sensitive to the noise power. In this paper, a cooperative detection algorithm with double-threshold and energy statistic weighing is proposed in order to improve sensing performance of the global detection at the coordinator. Two thresholds which are decided by the restriction probability are adopted to improve the performance of the cooperative detection, and energy combining based on weighing is used to improve the performance of the detection in confusion area. Simulation shows that the proposed scheme outperforms cooperative detection with single-threshold and single detection with single-threshold in detection accuracy.
Year
DOI
Venue
2014
10.1109/ChinaCom.2011.6158149
Wireless Communications and Mobile Computing
Keywords
Field
DocType
single detection,detection accuracy,confusion area,cooperative communication,energy statistic,energy detection,cognitive radio,single-threshold detection,cooperative detection algorithm,proposed scheme,energy combining,double-threshold cooperative detection,cooperative detection,noise power,global detection,signal detection,energy statistic weighing,data fusion
Wideband,Noise power,Decision fusion,Computer science,Algorithm,Sensor fusion,Artificial intelligence,Double threshold,Periodic graph (geometry),Distributed computing,Binary number,Cognitive radio
Journal
Volume
Issue
ISSN
14
13
null
ISBN
Citations 
PageRank 
978-1-4577-0100-9
5
0.42
References 
Authors
9
3
Name
Order
Citations
PageRank
Xin Liu1313.05
Chengwen Zhang214112.15
Xuezhi Tan38014.98