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Compressed sensing for frequency hopping communication signals via analog to information converter

Frequency Hopping Communication Signal (FHCS) is widely used in military filed especially in military communication for its good anti-jamming performance and multiple access capability. Due to the rapid development of communication technology, the band width of FHCS become wider and wider, frequency become larger and larger. There will be a huge pressure on Analog to Digital Converter (ADC) as well as DSP device. Theory of compressed sensing (CS) enables a successful reconstruction of sparse signal by sampling at a sub-Nyquist sample rate. Analog to Information Converter is a better implementation of CS, which includes Random Demodulator scheme (RD) and Modulated Wideband Converter (MWC). In this paper, we apply these two schemes into FHCS's compressed sampling and reconstruction. Simulations are performed to verify that RD scheme can reconstruct signal successfully with high possibility with relatively low time complexity at low sample rate. Besides, MWC guarantees the accuracy and efficiency of signal collection.