DocumentCode :
1788063
Title :
Directional spectrum sensing for cognitive radio using ESPAR arrays with a single RF chain
Author :
Rongrong Qian ; Sellathurai, Mathini ; Ratnarajah, Tharm
Author_Institution :
Inst. of Sensors, Signals & Syst., Heriot-Watt Univ. Edinburgh, Edinburgh, UK
fYear :
2014
fDate :
23-26 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose to use the electronically steerable parasitic array radiator (ESPAR) antenna, which relies on a single radio frequency (RF) front end coupled with a number of parasitic elements to steer beams in prescribed directions in the angular domain on a time division basis, to identify the directional spectrum sensing opportunities for cognitive radios. In particular, we propose a two stage spectrum sensing: First ESPAR signal measurements from different directional beampatterns are fed as input to the generalized likelihood ratio test (GLRT) algorithm to detect the existence of primary user signals. If signal existence is detected by the GLRT, then the directional measurements are used to obtain the direction of arrival (DoA) using a multiple signal classification (MUSIC) algorithm. We show that the DoA estimation performance using the ESPAR is comparable to that of the traditional uniform linear array when the signal-to-noise ratio (SNR) is larger than -15dB.
Keywords :
cognitive radio; direction-of-arrival estimation; linear antenna arrays; radio spectrum management; signal classification; signal detection; DoA estimation performance; ESPAR arrays; GLRT; MUSIC algorithm; RF front end; SNR; cognitive radio; direction of arrival; directional beam-patterns; directional measurements; directional spectrum sensing; electronically steerable parasitic array radiator antenna; generalized likelihood ratio test algorithm; multiple signal classification algorithm; parasitic elements; primary user signals; signal measurements; signal-to-noise ratio; single RF chain; single radio frequency front end; steer beams; time division basis; uniform linear array; Antenna arrays; Cognitive radio; Direction-of-arrival estimation; Multiple signal classification; Noise; Sensors; Cognitive radio; ESPAR; spectrum sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks and Communications (EuCNC), 2014 European Conference on
Conference_Location :
Bologna
Type :
conf
DOI :
10.1109/EuCNC.2014.6882639
Filename :
6882639
Link To Document :
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