Abstract—Recently, researches based on the Compressed Sensing (CS) become an important direction in the field of signal processing. The newly proposed system called Modulated Wideband Converter (MWC), which breaks through the limit of traditional Nyquist sampling, has presented huge advantages in sub-Nyquist sampling technique. It is composed of several analog channels that alias the signal intentionally before sampling it at a low rate. Then the signal can be reconstructed from the samples by using some commonly used algorithms in compressed sensing theory. It is one of the most successful compressive sampling hardware architectures, but in real hardware implementation, the digital board is fairly difficult to realize. In this paper, we made exploration of the MWC sampling theory and designed a three channels prototype system. To realize the +1 logic waveform, we present using Rocket I/O on Xilinx FPGA. In this way, the hardware system can be simplified so as to implement quickly. Through hardware experiments and algorithm reconstruction, we verify the feasibility of MWC system in sub-Nyquist sampling theory.
 

Index Terms—compressed sensing, sub-Nyquist sampling, modulated wideband converter, prototype system, FPGA

Cite: Weisong Liu, Xiang Wang, Shouzhong Zhu, Liwei Zhu, and Jie Yang, "Researches on the Wideband Spectrum Sensing Prototype System Based on MWC," International Journal of Signal Processing Systems, Vol. 5, No. 2, pp. 70-74, June 2017. doi: 10.18178/ijsps.5.2.70-74