Title :
Computer vision aided OFDM-based standards detection and classification technique for cognitive radio systems
Author :
Guibene, Wael ; Khirallah, Chadi ; Slock, D. ; Thompson, John
Author_Institution :
Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
Abstract :
This paper presents an innovative spectrum sensing scheme for Orthogonal Frequency Division Multiplexing (OFDM) signals based on enhancing the performance of the popular autocorrelation detectors (AD) using non-linear image processing methods. These methods improve the detection accuracy of the AD under particular false-alarm constraints. The proposed scheme is used in the detection of two OFDM systems, Long Term Evolution (LTE) and DVB terrestrial digital TV (DVB-T) under low signal to noise ratio (SNR) channel conditions. Results obtained show significant improvement in correct signals detection/classification up to 18% and 48% at a false-alarm of 5% and low SNR conditions equal to -18dB, using the combined AD and image processing scheme for the detection of LTE and DVB-T signals, respectively.
Keywords :
Long Term Evolution; OFDM modulation; cognitive radio; computer vision; correlation methods; digital video broadcasting; image classification; radio spectrum management; signal detection; DVB terrestrial digital TV; DVB-T; LTE; Long Term Evolution; OFDM signal; OFDM-based standards classification technique; OFDM-based standards detection technique; autocorrelation detector; cognitive radio system; computer vision; false alarm constraints; innovative spectrum sensing scheme; low SNR channel condition; low signal to noise ratio channel condition; nonlinear image processing method; orthogonal frequency division multiplexing signal; signal classification; signal detection; Correlation; Detectors; Digital video broadcasting; OFDM; Signal to noise ratio; Standards; DVB-T; LTE; OFDM; Spectrum Sensing;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638507
