Design And Implementation Of Blind Capture System Of Frequency Hopping Signals Based On Compressed Sensing

Compressed Sensing theory is a kind of signal processing theory which makes itpossible for a sparse signal sampled and processed at sub-nyquist rate. The theoryobviously cut down the requirement of hardware on signal acquisition and processing.Because frequency hopping signal is typical sparse, the application of CS infrequency-hopping signal acquisition and processing has broad prospects.After researching on the sampling, blind detection, parameter estimation algorithmof frequency hopping signal based on compressed sensing, this article integrate thesemodules into a software radio system. The system consists of an Ethernet interface anda PC software. After rigorous testing, the system is stable and effective, and theoperating results are the same as the simulation of the algorithm. The system is modular,configurable and easy to expand. With AIC hardware, this system can be used tocapture real-time frequency hopping signal without any priori information. Otherwisewithout the AIC hardware, this system can be configured to validate the algorithm ofblind detection and parameter estimation.