System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization
Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.
1. A system for spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor including at least one receiver channel operable to monitor the electromagnetic environment and create measured data based on the electromagnetic environment;
a radio receiver front-end subsystem configured to process the measured data, thereby creating processed data, wherein the radio receiver front-end subsystem includes a radio-frequency integrated circuit (RFIC), a digital down-converter (DDC), a downsampler, a field programmable gate array (FGPA), and a frequency domain programmable channelizer;
at least one data analysis engine for analyzing the processed data, thereby creating analyzed data;
at least one application;
a semantic engine including a programmable rules and policy editor; and
a tip and cue server;
wherein the at least one data analysis engine includes a detection engine and a learning engine, wherein the detection engine is operable to automatically detect at least one signal of interest, and wherein the learning engine is operable to learn the electromagnetic environment;
wherein the at least one application includes a resource brokerage application, wherein the resource brokerage application is operable to optimize resources to improve performance of at least one customer application and/or at least one customer device;
wherein the programmable rules and policy editor includes at least one rule and/or at least one policy, and wherein one or more of the at least one rule and/or the at least one policy is defined by at least one customer; 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.
2. 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.
3. The system of claim 2 , wherein the at least one antenna array includes at least one steerable antenna array.
4. The system of claim 1 , wherein one or more of the at least one monitoring sensor is mounted on a drone, on 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 frequency domain programmable channelizer includes a comparison at each of the at least one receiver channel, and wherein the comparison provides anomalous detection using a mask with frequency and power.
7. The system of claim 1 , wherein the frequency domain programmable channelizer includes buffer services, pre-processing, bin selection, at least one bandpass filter, an inverse fast Fourier transform (IFFT) function, decomposition, frequency down conversion, and phase correction.
8. The system of claim 1 , wherein the frequency domain programmable channelizer includes channelization selector logic for a table lookup of filter coefficient and channelization vectors.
9. The system of claim 8 , wherein data from the table lookup of filter coefficient and channelization vectors undergoes preprocessing with a mix circular rotator to produce a plurality of blocks of a plurality of points.
10. The system of claim 9 , wherein a sum is taken of a block of the plurality of blocks and an inverse fast Fourier transform (IFFT) is taken of a point of the plurality of points to produce discor overlap samples, and wherein the discor overlap samples are transmitted to a classification engine.
11. The system of claim 1 , wherein the at least one data analysis engine further includes an identification engine, a classification engine, and a geolocation engine.
12. The system of claim 1 , wherein the at least one application further includes a certification and compliance application, wherein the certification and compliance application is operable to determine if the at least one customer application and/or the at least one customer device is behaving according to the at least one rule and/or the at least one policy.
13. The system of claim 1 , wherein the at least one application further includes a survey occupancy application, wherein the survey occupancy application is operable to determine occupancy in frequency bands and schedule occupancy in at least one frequency band.
14. The system of claim 1 , wherein the semantic engine is operable to receive queries, searches, and/or search-related functions using natural language.
15. The system of claim 1 , wherein the actionable data is used to generate at least one knowledge-based decision tree.
16. The system of claim 1 , wherein the actionable data indicates that one or more of the at least one signal of interest is behaving like a drone.
17. The system of claim 1 , wherein the actionable data indicates a location for at least one macrosite and/or at least one tower.
18. A system for spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor including at least one receiver channel operable to monitor the electromagnetic environment and create measured data based on the electromagnetic environment;
a radio receiver front-end subsystem configured to process the measured data, thereby creating processed data, wherein the radio receiver front-end subsystem includes a radio-frequency integrated circuit (RFIC), a digital down-converter (DDC), a downsampler, a field programmable gate array (FGPA), and a frequency domain programmable channelizer;
at least one data analysis engine for analyzing the processed data, thereby creating analyzed data;
at least one application;
a semantic engine including a programmable rules and policy editor; and
a tip and cue server;
wherein the at least one data analysis engine includes a detection engine, an identification engine, a classification engine, a geolocation engine, and a learning engine, wherein the detection engine is operable to automatically detect at least one signal of interest, and wherein the learning engine is operable to learn the electromagnetic environment;
wherein the at least one application includes a resource brokerage application, wherein the resource brokerage application is operable to optimize resources to improve performance of at least one customer application and/or at least one customer device;
wherein the programmable rules and policy editor includes at least one rule and/or at least one policy, and wherein one or more of the at least one rule and/or the at least one policy is defined by at least one customer; 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.
19. The system of claim 18 , wherein the frequency domain programmable channelizer includes a comparison at each of the at least one receiver channel, and wherein the comparison provides anomalous detection using a mask with frequency and power.
20. The system of claim 18 , wherein the frequency domain programmable channelizer includes buffer services, pre-processing, bin selection, at least one bandpass filter, an inverse fast Fourier transform (IFFT) function, decomposition, frequency down conversion, and phase correction.
21. The system of claim 18 , wherein the frequency domain programmable channelizer includes channelization selector logic for a table lookup of filter coefficient and channelization vectors.
22. A method for spectrum management in an electromagnetic environment comprising:
providing a semantic engine including a programmable rules and policy editor, wherein the programmable rules and policy editor includes at least one rule and/or at least one policy, and wherein one or more of the at least one rule and/or the at least one policy is defined by at least one customer;
monitoring the electromagnetic environment using at least one monitoring sensor including at least one receiver channel and creating measured data based on the electromagnetic environment;
processing the measured data using a radio receiver front-end subsystem, thereby creating processed data, wherein the radio receiver front-end subsystem includes a radio-frequency integrated circuit (RFIC), a digital down-converter (DDC), a downsampler, a field programmable gate array (FGPA), and a frequency domain programmable channelizer;
analyzing the processed data using at least one data analysis engine, thereby creating analyzed data, wherein the at least one data analysis engine includes a detection engine and a learning engine;
learning the electromagnetic environment using the learning engine;
automatically detecting at least one signal of interest using the detection engine;
optimizing resources to improve performance of at least one customer application and/or at least one customer device using a resource brokerage application; and
creating actionable data using a tip and cue server based on the analyzed data from the at least one data analysis engine.
23. The method of claim 22 , further including the frequency domain programmable channelizer preforming a comparison at each of the at least one receiver channel, and wherein the comparison provides anomalous detection using a mask with frequency and power.
24. The method of claim 22 , wherein the frequency domain programmable channelizer includes buffer services, pre-processing, bin selection, at least one bandpass filter, an inverse fast Fourier transform (IFFT) function, decomposition, frequency down conversion, and phase correction.
25. The method of claim 22 , wherein the frequency domain programmable channelizer includes channelization selector logic for a table lookup of filter coefficient and channelization vectors.
26. A method for spectrum management in an electromagnetic environment comprising:
providing a semantic engine including a programmable rules and policy editor, wherein the programmable rules and policy editor includes at least one rule and/or at least one policy, and wherein one or more of the at least one rule and/or the at least one policy is defined by at least one customer;
monitoring the electromagnetic environment using at least one monitoring sensor including at least one receiver channel and creating measured data based on the electromagnetic environment;
processing the measured data using a radio receiver front-end subsystem, thereby creating processed data, wherein the radio receiver front-end subsystem includes a radio-frequency integrated circuit (RFIC), a digital down-converter (DDC), a downsampler, a field programmable gate array (FGPA), and a frequency domain programmable channelizer;
analyzing the processed data using at least one data analysis engine, thereby creating analyzed data, wherein the at least one data analysis engine includes a detection engine, a classification engine, an identification engine, a geolocation engine, and a learning engine;
learning the electromagnetic environment using the learning engine;
automatically detecting at least one signal of interest using the detection engine;
classifying the at least one signal of interest using the classification engine;
identifying the at least one signal of interest using the identification engine;
determining a location of the at least one signal of interest using the geolocation engine;
optimizing resources to improve performance of at least one customer application and/or at least one customer device using a resource brokerage application; and
creating actionable data using a tip and cue server based on the analyzed data from the at least one data analysis engine.
27. The method of claim 26 , wherein the learning engine learns information from the detection engine, the classification engine, the identification engine, and/or the geolocation engine.
28. The method of claim 26 , further including the frequency domain programmable channelizer preforming a comparison at each of the at least one receiver channel, and wherein the comparison provides anomalous detection using a mask with frequency and power.
29. The method of claim 26 , wherein the frequency domain programmable channelizer includes buffer services, pre-processing, bin selection, at least one bandpass filter, an inverse fast Fourier transform (IFFT) function, decomposition, frequency down conversion, and phase correction.
30. The method of claim 26 , wherein the frequency domain programmable channelizer includes channelization selector logic for a table lookup of filter coefficient and channelization vectors.