System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization

1. A system for spectrum management in an electromagnetic environment comprising:

at least one monitoring sensor operable to monitor the electromagnetic environment and create measured data based on the electromagnetic environment;

at least one data analysis engine for analyzing the measured data; and

a tip and cue server;

wherein the at least one data analysis engine includes a detection engine and a geolocation engine, wherein the detection engine is operable to automatically detect at least one signal of interest and wherein the geolocation engine is operable to determine a location of the at least one signal of interest; and

wherein the tip and cue server is operable to use analyzed data from the at least one data analysis engine to create actionable data for dynamic spectrum utilization.

2. The system of claim 1 , wherein the tip and cue server is operable to activate an alarm and/or provide at least one report based on the actionable data.

3. The system of claim 1 , wherein the at least one monitoring sensor includes at least one antenna, at least one antenna array, at least one radio server, and/or at least one software defined radio.

4. The system of claim 1 , wherein one or more of the at least one monitoring sensor is mounted on a drone, a vehicle, in or on a street light, in or on a traffic pole, and/or on top of a building.

5. The system of claim 1 , wherein one or more of the at least one monitoring sensor is integrated with at least one camera to capture video and/or still images.

6. The system of claim 1 , wherein the geolocation engine is operable to determine the location of the at least one signal of interest based on an angle of arrival, a time difference of arrival, a frequency difference of arrival, and power distribution ratio measurements.

7. The system of claim 1 , wherein the geolocation engine is operable to use statistical approximations to remove error causes from noise, timing and power measurements, multipath, and non-line of sight (NLOS) measurements.

8. The system of claim 1 , wherein the geolocation engine includes passive methods of geolocation, wherein the passive methods of geolocation include single directional beam antenna response, multidirectional beam antenna response, multi-antenna element response, line of bearing (LOB)-to-position solutions, general optimization, phase interferometry, beamforming, conventional array manifold processing approaches, and/or high-resolution array manifold processing approaches using signals subspace, digital pre-distortion (DPD), convex programming, and/or distributed swarm approaches.

9. The system of claim 1 , wherein the geolocation engine is operable to utilize graphical geolocation techniques, and wherein the graphical geolocation techniques include an image comparison between a two-dimensional map or a three-dimensional map of possible outputs and the analyzed data.

10. The system of claim 1 , wherein the geolocation engine is operable to use spinning direction finding via rotating directional antennas and estimate a direction of arrival of an emitter of the at least one signal of interest.

11. The system of claim 1 , wherein the geolocation engine is operable to use amplitude ratio methods for geolocation using a set of fixed directional antennas pointing in different directions.

12. A system for spectrum management in an electromagnetic environment comprising:

at least one monitoring sensor operable to create measured data based on the electromagnetic environment;

at least one data analysis engine for analyzing the measured data; and

a server;

wherein the at least one data analysis engine includes a detection engine and a geolocation engine, wherein the detection engine is operable to detect at least one signal of interest, and wherein the geolocation engine is operable to determine a location of the at least one signal of interest; and

wherein the server is operable to use analyzed data from the at least one data analysis engine to create actionable data for dynamic spectrum utilization.

13. The system of claim 12 , wherein the geolocation engine is operable to determine the location of the at least one signal of interest based on an angle of arrival, a time difference of arrival, a frequency difference of arrival, and power distribution ratio measurements.

14. The system of claim 12 , wherein the geolocation engine is operable to use statistical approximations to remove error causes from noise, timing and power measurements, multipath, and non-line of sight (NLOS) measurements.

15. The system of claim 12 , wherein the geolocation engine includes passive methods of geolocation, wherein the passive methods of geolocation include single directional beam antenna response, multidirectional beam antenna response, multi-antenna element response, line of bearing (LOB)-to-position solutions, general optimization, phase interferometry, beamforming, conventional array manifold processing approaches, and/or high-resolution array manifold processing approaches using signals subspace, digital pre-distortion (DPD), convex programming, and/or distributed swarm approaches.

16. The system of claim 12 , wherein the geolocation engine is operable to utilize graphical geolocation techniques, and wherein the graphical geolocation techniques include an image comparison between a two-dimensional map or a three-dimensional map of possible outputs and the analyzed data.

17. The system of claim 12 , wherein the geolocation engine is operable to use spinning direction finding via rotating directional antennas and estimate a direction of arrival of an emitter of the at least one signal of interest.

18. The system of claim 12 , wherein the geolocation engine is operable to use amplitude ratio methods for geolocation using a set of fixed directional antennas pointing in different directions.

19. A method for spectrum management in an electromagnetic environment comprising:

creating measured data based on the electromagnetic environment using at least one monitoring sensor;

analyzing the measured data using at least one data analysis engine to create analyzed data, wherein the at least one data analysis engine includes a detection engine and a geolocation engine;

detecting at least one signal of interest using the detection engine;

determining a location of the at least one signal of interest using the geolocation engine; and

creating actionable data for dynamic spectrum utilization based on the analyzed data from the at least one data analysis engine.

20. The method of claim 19 , wherein determining the location of the at least one signal of interest includes utilizing passive methods of geolocation, wherein the passive methods of geolocation include single directional beam antenna response, multidirectional beam antenna response, multi-antenna element response, line of bearing (LOB)-to-position solutions, general optimization, phase interferometry, beamforming, conventional array manifold processing approaches, and/or high-resolution array manifold processing approaches using signals subspace, digital pre-distortion (DPD), convex programming, and/or distributed swarm approaches.