Chaotic Compressed Sensing System for 16x sub-Nyquist Signal Reconstruction

M. L. ACOSTA; ANTONELLI, M.; L. DE MICCO

Mar del Plata

Congreso; Congreso Argentino de Electrónica CAE; 2019

ICYTE/FI UNMDP

Chaotic sequences are good candidates to replacerandom sequences in many digital electronic applications, thisis due to their stochastic appearance and, under certain considerations,easy hardware implementation. On the other hand,Compressed Sensing (CS) technique allows the efficient acquisitionand reconstruction of signals from a smaller numberof samples than that required by Shannon-Nyquist samplingtheorem. A critical point in this technique is the choice ofsampling implementation, usually random sequences are used.These sequences are computationally expensive to generate, soin this work the use of chaotic sequences is studied. Thispaper validates by the design and hardware implementationin a PSoC (Programmable System-on-Chip), Zedboard FPGA(Field-Programmable Gate Array) a signal acquisition systememploying chaotic Compressed Sensing. Performance quantifiersof the implemented system are proposed and the results obtainedare reported, which show that the chaotic systems present abehavior comparable to the classic ones.