Compressed sensing based jammer detection algorithm for wide-band cognitive radio networks

Servizi UNIGE per questo articolo(opens in a new window)|Richiedi articolo via Nilde(opens in a new window)|View at Publisher| Export | Download | Add to List | More... 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015 16 November 2015, Article number 7330276, Pages 119-123 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015; Pisa; Italy; 17 June 2015 through 19 June 2015; Category numberCFP1571Z-ART; Code 118216 Compressed sensing based jammer detection algorithm for wide-band cognitive radio networks (Conference Paper) Mughal, M.O. , Dabcevic, K., Marcenaro, L., Regazzoni, C.S. Department of Electrical, Electronic Telecommunications Engineering and Naval Architecture - DITEN, University of Genova, Italy View references (23) Abstract This paper proposes a new algorithm for jammer detection in wide-band (WB) cognitive radio networks. We consider a WB which comprises of multiple fixed length narrow-band sub-bands (SB). These SBs are occupied by narrow-band signals which can be legitimate users or a jammer. To reduce the overhead of the analog-to-digital conversion (ADC), compressed sensing (CS) is performed first. CS allows us to estimate a WB spectrum with sub-Nyquist rate sampling. After that, energy detection is applied to identify the occupied sub-bands (SB). Then, for each occupied SB, some waveform parameters such as signal bandwidth and power spectral density (PSD) levels are compared with licit user database to classify the observed signal as a licit user or a jammer. In the end, performance of the proposed algorithm is shown with the help of monte carlo simulations under different empirical setups