DocumentCode :
648847
Title :
A hybrid spectrum sensing technique with multiple antenna based on GLRT
Author :
Badawy, Ahmed ; Khattab, Tamer
Author_Institution :
Electr. Eng. Dept., Qatar Univ., Doha, Qatar
fYear :
2013
fDate :
7-9 Oct. 2013
Firstpage :
736
Lastpage :
742
Abstract :
Spectrum sensing is the core for any cognitive radio network. Quick detection of the primary user signal allows for higher spectrum efficiency. In this paper, we introduce and implement a new hybrid spectrum sensing technique that is based on combining GLRT with energy detection and utilizing multiple antennas. Our system introduces a compromise between speed and complexity. When the SNR goes below the SNR wall for the low complexity energy detection, our system switches to the more expensive GLRT algorithm. A practical prototype of our system is implemented on the WARP FPGA-based nodes to study its efficiency and complexity. In addition to practical experimental results, we derive theoretical closed form expressions for the probability of false alarm and the probability of detection for our new approach when using multiple antennas at the secondary users. We also compare the multiple antenna approach to the collaborative detection approach.
Keywords :
antenna arrays; array signal processing; cognitive radio; field programmable gate arrays; probability; radio networks; radio spectrum management; signal detection; GLRT algorithm; SNR; WARP FPGA-based node; closed form expression; cognitive radio network; false alarm probability; general likelihood ratio test; hybrid spectrum sensing technique; low complexity energy detection; multiple antenna approach; primary user signal detection; FPGA implementation; GLRT; collaborative detection; energy detection; hybrid system; multiple antennas; spectrum sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Mobile Computing, Networking and Communications (WiMob), 2013 IEEE 9th International Conference on
Conference_Location :
Lyon
ISSN :
2160-4886
Type :
conf
DOI :
10.1109/WiMOB.2013.6673438
Filename :
6673438
Link To Document :
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