DocumentCode
247492
Title
Spectrum sensing using adaptive threshold based energy detection for OFDM signals
Author
Nan Wang ; Yue Gao ; Cuthbert, Laurie
Author_Institution
Queen Mary Univ. of London, London, UK
fYear
2014
fDate
19-21 Nov. 2014
Firstpage
359
Lastpage
363
Abstract
Spectrum sensing is one of the key technologies to realize dynamic spectrum access in cognitive radio systems, especially for the next generation mobile systems. In this paper, the OFDM signal is sensed using a wide-band cognitive radio system. A new adaptive threshold algorithm is proposed for the Discrete Wavelet Packet Transform (DWPT) and Welch´s energy detection methods to illustrate the trade-off between detection probability and false alarm probability. The proposed adaptive threshold algorithm in both DWPT and Welch´s method demonstrates that the target performance requirements for the sensing algorithm equation for today can be achieved at -18dB, that is a very low signal level for sensing.
Keywords
OFDM modulation; cognitive radio; discrete wavelet transforms; mobile radio; next generation networks; radio spectrum management; OFDM signals; Welch´s energy detection; adaptive threshold based energy detection; cognitive radio systems; detection probability; discrete wavelet packet transform; dynamic spectrum access; false alarm probability; next generation mobile systems; spectrum sensing; wide-band cognitive radio system; Cognitive radio; Detectors; Digital video broadcasting; OFDM; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems (ICCS), 2014 IEEE International Conference on
Conference_Location
Macau
Type
conf
DOI
10.1109/ICCS.2014.7024825
Filename
7024825
Link To Document