Systems, methods, and devices for electronic spectrum management for identifying signal-emitting devices

A system for spectrum management, comprising:

• a radiofrequency (RF) receiver, a signal processor, and a database connected to the signal processor;
• wherein the RF receiver is operable to measure RF energy and output RF energy measurements to the signal processor;
• wherein the signal processor is operable to:
• generate signal data based on the RF energy measurements received from the RF receiver;
• compare the generated signal data with at least one signal parameter stored in the database to identify at least one signal, the at least one signal parameter including hardware parameters;
• determine if the at least one signal is moving using a frequency-locked loop by determining if there is a Doppler change in the at least one signal;
• provide signal optimization parameters for signal optimization of the at least one signal based on measured terrain data stored in the database;
• create a channel plan based on user input, external databases, or feature extraction from an RF environment using a Temporal Feature Extraction (TFE) function;
• and
• determine that the at least one signal violates the channel plan;
• wherein the identification of the at least one signal includes signal detection based on a calibration vector, a gradient detection algorithm, a first smoothing filter, and a second smoothing filter;
• wherein the second smoothing filter is performed only on frequencies outside a frequency range of the at least one signal;
• wherein the hardware parameters include antenna position, power settings, antenna type, orientation, azimuth, location, gain, and equivalent isotropically radiated power (EIRP);
• and
• wherein the at least one signal parameter stored in the database includes noise figure parameters.

A method for spectrum management, comprising:

• measuring, via a radiofrequency (RF) receiver, RF energy and outputting RF energy measurements to a database connected to a signal processor;
• generating, by the signal processor, signal data based on the RF energy measurements received from the RF receiver;
• comparing, by the signal processor, the generated signal data with at least one signal parameter stored in the database to identify at least one signal, the at least one signal parameter including hardware parameters;
• determining, by the signal processor, if there is a Doppler change in the at least one signal to determine if the at least one signal is moving using a frequency-locked loop;
• providing signal optimization parameters for signal optimization of the at least one signal based on measured terrain data stored in the database;
• creating a channel plan based on user input, external databases, and/or feature extraction from an RF environment using a Temporal Feature Extraction (TFE) function with the signal processor;
• and
• determining, by the signal processor, that the at least one signal violates the channel plan;
• wherein the identification of the at least one signal includes signal detection based on a calibration vector, a gradient detection algorithm, a first smoothing filter, and a second smoothing filter;
• wherein the hardware parameters include antenna position, power settings, antenna type, orientation, azimuth, location, gain, and equivalent isotropically radiated power (EIRP);
• and
• wherein the at least one signal parameter stored in the database includes noise figure parameters.