Research On Frequency Hopping Signal Acquisition Based On Analog To Information Technology

Conventional Nyquist sampling method for wideband frequency hopping signalfaces challenges of high sampling rates and fast processing speed. Appeared in recentyears, Compressed Sensing technology can reconstruct a sparse signal with a highprobability by using fewer samples. In this thesis, signal acquisition method fit forwideband frequency hopping signal is designed to reduce the sampling rates andprocessing speed based on this theory.CS theory and the frequency hopping signal are combined because of its sparsefeature and the basic concept of an analog information converter (AIC) is presentedafter. Then the key factors to design a realizable AIC system are put forward. Theexisting AIC systems including direct type, segmented integral and randomdemodulator are classified as a class as they have the common signal model.Numerical simulations demonstrate the signal model these systems can handle. Aspecific wideband frequency hopping signal is chosen to verify the limitation in copingwith wideband signals, i.e., it faces a large scale measurement matrix. By comparisonand analysis, a new signal model fit for the wideband frequency hopping signal isdesigned and the Modulated Wideband Converter is adopted as the final system tocomplete the signal acquisition process. A comparison of this system with the randomdemodulator is made to illustrate that this system can acquire and reconstruct widebandfrequency hopping signal with sampling rate far lower than Nyquist rate and smallermeasurement matrix scale. An additional multiband signal simulation is conductedsubsequently to demonstrate that this system has good baseband processing capabilityand a good potential in spectrum sensing filed.