Title :
Ultrawideband RF compressed sensing using spectrally-encoded ultrafast laser pulses
Author :
Bryan T. Bosworth;Jasper R. Stroud;Dung N. Tran;Trac D. Tran; Sang Chin;Mark A. Foster
Author_Institution :
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA
fDate :
6/1/2015 12:00:00 AM
Abstract :
We experimentally demonstrate a photonic RF sampling system that utilizes chirp processing of ultrafast laser pulses to achieve all-optical high-rate pseudorandom patterning and inner product integration for compressed sensing measurement. We successfully acquire multi-tone sparse radio frequency (RF) signals at arbitrary offsets from the reconstruction basis frequencies in an 11.95 GHz bandwidth utilizing less than 1% of the measurements traditionally required for Nyquist sampling. Pseudorandom binary sequence (PRBS) patterns are modulated onto time-stretched optical pulses, encoding them onto the optical spectra at a rate of one unique pattern per pulse. Thus patterned, the pulses are then partially-compressed, increasing the system´s effective sampling rate by 2.07×, well beyond the electronic modulation rate. The partially-compressed patterned pulses are then modulated again with the RF signal under test and fully compressed to perform optical integration of the PRBS-RF inner product before output photodetection and digitization. This achieves a reduction in required electronic sampling rate by two orders of magnitude.
Keywords :
"Radio frequency","Bandwidth","Frequency measurement","Optical pulses","Compressed sensing","Optical modulation"
Conference_Titel :
Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015 3rd International Workshop on
DOI :
10.1109/CoSeRa.2015.7330269