DocumentCode :
1844164
Title :
Exploiting polarization for spectrum sensing in cognitive SatComs
Author :
Sharma, Shree Krishna ; Chatzinotas, Symeon ; Ottersten, Björn
Author_Institution :
SnT (Securityandtrust.lu), Univ. of Luxembourg, Luxembourg, Luxembourg
fYear :
2012
fDate :
18-20 June 2012
Firstpage :
36
Lastpage :
41
Abstract :
Exploring new techniques for spectrum sensing (SS), which can detect the weak primary signals instantly, has been an important research challenge. In this paper, the problem of enhancing SS efficiency in cognitive SatComs has been considered. The analysis of different combining techniques has been carried out for SS using dual polarized antenna. Furthermore, polarization states of received signals are exploited and based on obtained polarization states, Optimum Polarization Based Combining (OPBC) technique has been used for carrying out SS in the satellite terminal. The sensing performance of OPBC technique has been compared to selection combining (SC), equal gain combining (EGC) and maximum ratio combining (MRC) techniques. The simulation results show that OPBC technique achieves a great improvement in sensing efficiency over other considered techniques at the expense of complexity in a dual polarized AWGN channel.
Keywords :
AWGN channels; cognitive radio; multifrequency antennas; polarisation; satellite antennas; EGC; MRC; OPBC technique; SS efficiency; cognitive SatComs; dual polarized AWGN channel; dual polarized antenna; equal gain combining; maximum ratio combining; optimum polarization based combining; polarization; selection combining; spectrum sensing; weak primary signals; Receiving antennas; Satellites; Sensors; Signal to noise ratio; Transmitting antennas; Vectors; Probability of detection; dual polarized antenna; energy detection; polarization states; sensing efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2012 7th International ICST Conference on
Conference_Location :
Stockholm
ISSN :
2166-5370
Print_ISBN :
978-1-4673-2976-7
Electronic_ISBN :
2166-5370
Type :
conf
Filename :
6333711
Link To Document :
بازگشت