Prototype design of multicoset sampling based on compressed sensing

This paper focuses on the system implementation of Multicoset Sampling based on Compressed Sensing(CSMC), which can sample multiband signal with unknown carrier frequency at sub-Nyquist rate. In this paper, some nonideal system errors of implementing CSMC system are analyzed which leads to perturbation of sensing matrix. We propose a least square method that works reliably to estimate nonideal parameters in the system and thus calibrate the sensing matrix in the reconstruction algorithm. We also propose a prototype for CSMC system whose sampling parameters can be adjusted flexibly. The proposed system is capable of sampling multiband signal at a rate much lower than Nyquist rate, which proves the effectiveness of CSMC scheme in practice.