Spectrum-analysis-isolation-synthesis machine learning-based receiver system and method for spectrum coexistence and sharing applications

A signal processing system, comprising:

• a receiver configured to receive a continuous spectrum of RF signals;
• at least one processor configured to:
• digitize the continuous spectrum of RF signals as in-phase (I) and quadrature (IQ) data;
• estimate a spectrum of the IQ data;
• identify one or more data signals in the IQ data;
• estimate at least a center frequency and a bandwidth of each data signal;
• reconstruct each of the one or more data signals based on the data signal's estimated center frequency and bandwidth;
• classify the one or more reconstructed data signals;
• and
• generate an output signal which includes a classification result of each of the one or more reconstructed data signals.

A non-transitory computer readable medium storing program code for performing RF signal processing, the program code causing a signal processor to perform operations comprising:

• receiving, by an RF receiver, a continuous spectrum of RF signals;
• digitizing, by a signal processor, the continuous spectrum of RF signals as in-phase (I) and quadrature (IQ) data;
• estimating, by the signal processor, a spectrum of the IQ data;
• identifying, by the signal processor, one or more data signals in the IQ data;
• estimating, by the signal processor, at least a center frequency and a bandwidth of each data signal;
• reconstructing, by the signal processor, each of the one or more data signals based on at least the data signal's estimated center frequency and bandwidth;
• classifying, by a neural network of the signal processor, the one or more reconstructed data signals;
• and
• generating, by the signal processor, a data signal which includes a classification result of each of the one or more reconstructed data signals.