Compressive sensing (CS) theory enables direct analog-to-information conversion (AIC) of wideband analog signals at sub Nyquist sampling rates. In many applicat ions, sampling at the Nyquist rate is inefficient because the signal may be sparse. The sparse signal contains only a few significant components. This paper describes a type of analog -toinformat ion scheme which consists of demodulation, filtering and uniform sampling. Based on the scheme, the sine and linear frequency modulation (LFM) signals can be rebuilt and the results show that the AIC scheme would alleviate the problem of high sampling rate. The signal can accurately be rebuilt when it is sampled at a 0.2 sub-sampling factor.

Date Published: 17 April 2019
PDF: 5 pages
Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 1107107 (17 April 2019); doi: 10.1117/12.2516360

Published in SPIE Proceedings Vol. 11071:
Tenth International Conference on Signal Processing Systems
Kezhi Mao; Xudong Jiang, Editor(s)