Computer vision aided OFDM-based standards detection and classification technique for cognitive radio systems

Guibene, Wael; Khirallah, Chadi; Slock, Dirk; Thompson, John

ICASSP 2013, 38th International Conference on Acoustics, Speech, and Signal Processing, 26-31 May, Vancouver, Canada

This paper presents an innovative spectrum sensing scheme or 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.

Detail

Document

DOI

BIBTEX

Type:

Conference

City:

Vancouver

Date:

2013-05-26

Department:

Communication systems

Eurecom Ref:

3947

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