Title :
Multicoset sampling based on frequency shifting and filtering
Author :
Mansour, Ayman ; Le Roy, F. ; Le Jeune, Denis
Author_Institution :
Lab. STIC, ENSTA Bretagne, Brest, France
Abstract :
In this manuscript, the problem of compressive sampling of intercepted sparse signals is addressed. Assuming that the intercepted signals are sparse in frequency domain, we propose a new algorithm based on shifting and filtering concepts to perform a compressive sampling. Schematic circuits to carry out the undersampling step and the recovery of original signals are also proposed. Simulation results are discussed. Finally, conclusions and future works are presented.
Keywords :
compressed sensing; frequency-domain analysis; signal sampling; compressive sampling; frequency domain; frequency filtering concepts; frequency shifting; intercepted sparse signals; multicoset sampling; Band-pass filters; Fourier transforms; Frequency estimation; Frequency-domain analysis; Signal processing algorithms; Wireless communication; Cognitive Radio; Compressed Sensing; Compressive sampling; Electronic Warfare; Intercepted Signals; Software Defined Radio; Wireless Communication;
Conference_Titel :
Military Communications and Information Systems Conference (MCC), 2013
Conference_Location :
St.-Malo
Print_ISBN :
978-83-934848-8-1