TY - GEN
T1 - Template matching for signal identification in cognitive radio systems
AU - Gorcin, Ali
AU - Arslan, Huseyin
PY - 2012
Y1 - 2012
N2 - Spectrum sensing feature of cognitive radio systems introduces methods to improve the spectrum utilization. The unique signatures or specific features of wireless signals can be utilized to improve the performance of spectrum sensing by identifying the signals. Moreover, spectral efficiency can be improved by achieving signal orthogonality in different domains such as code, polarization and location beside the frequency and time. However, such methods assume the types of the signals of interest to be known. In this paper, template matching method is proposed as a new spectrum sensing technique to identify the wireless signals based on the spectral signatures in the spectrum. In contrary to the original template matching approach, the number of templates to be kept in the database is limited to one abstract signal for each signal type. The templates are constructed from the abstracts and scaled based on the template matching parameters. Two new metrics are introduced for signal identification method proposed. The performance of proposed metrics are also compared with that of energy detection for wireless fading channels. Identification of the signals with the similar signatures are discussed as well.
AB - Spectrum sensing feature of cognitive radio systems introduces methods to improve the spectrum utilization. The unique signatures or specific features of wireless signals can be utilized to improve the performance of spectrum sensing by identifying the signals. Moreover, spectral efficiency can be improved by achieving signal orthogonality in different domains such as code, polarization and location beside the frequency and time. However, such methods assume the types of the signals of interest to be known. In this paper, template matching method is proposed as a new spectrum sensing technique to identify the wireless signals based on the spectral signatures in the spectrum. In contrary to the original template matching approach, the number of templates to be kept in the database is limited to one abstract signal for each signal type. The templates are constructed from the abstracts and scaled based on the template matching parameters. Two new metrics are introduced for signal identification method proposed. The performance of proposed metrics are also compared with that of energy detection for wireless fading channels. Identification of the signals with the similar signatures are discussed as well.
UR - http://www.scopus.com/inward/record.url?scp=84874314831&partnerID=8YFLogxK
U2 - 10.1109/MILCOM.2012.6415770
DO - 10.1109/MILCOM.2012.6415770
M3 - Conference contribution
AN - SCOPUS:84874314831
SN - 9781467317290
T3 - Proceedings - IEEE Military Communications Conference MILCOM
BT - MILCOM 2012 - 2012 IEEE Military Communications Conference
T2 - 2012 IEEE Military Communications Conference, MILCOM 2012
Y2 - 1 November 2012 through 1 November 2012
ER -