Systems and methods of sensor data fusion
Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.
1. A system for sensor data fusion for sensor management and utilization in satellite command and control, comprising:
at least one computer processor including a memory;
at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;
at least one first radio frequency (RF) power sensor operable to capture a first power measurement of at least one RF signal received by a satellite; and
at least one second RF power sensor operable to capture a second power measurement of the at least one RF signal received by the satellite;
wherein the at least one computer processor is operable to analyze the first power measurement and the second power measurement;
wherein the at least one curation engine is operable to curate the first power measurement and the second power measurement, the at least one link engine is operable to link the first power measurement and the second power measurement, the at least one inference engine is operable to determine at least one inference from the first power measurement and the second power measurement, and the at least one validation engine is operable to validate the first power measurement and the second power measurement;
wherein the at least one link engine is operable to calculate a non-existent link, a weak link, or a strong link between the first power measurement and the second power measurement;
wherein the at least one fusion engine is operable to fuse the first power measurement and the second power measurement, thereby creating fused data;
wherein the fused data includes at least one new data set; and
wherein the at least one computer processor is operable to instruct the satellite to reorient based on the at least one new data set.
2. The system of claim 1 , wherein the at least one link engine is operable to dynamically adjust a threshold for the non-existent link, the weak link, or the strong link.
3. The system of claim 1 , wherein the at least one fusion engine is further operable to fuse at least one first power property and/or at least one first power sub-property and at least one second power property and/or at least one second power sub-property.
4. The system of claim 3 , wherein the at least one first power property and/or the at least one first power sub-property is different than the at least one second power property and/or the at least one second power sub-property.
5. The system of claim 1 , wherein the at least one fusion engine is operable to fuse the first power measurement and the second power measurement in real-time.
6. The system of claim 1 , wherein the at least one new data set further includes a prediction about a future event.
7. The system of claim 1 , wherein the non-existent link is a conditional entropy of 1, the strong link is a conditional entropy of between greater than 0 and less than or equal to 0.4, and the weak link is a conditional entropy of between greater than 0.4 and less than 1.
8. A method for sensor data fusion for sensor management and utilization in satellite command and control, comprising:
providing at least one computer processor including a memory;
providing at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;
at least one first radio frequency (RF) power sensor capturing a first power measurement of at least one RF signal received by a satellite;
at least one second RF power sensor capturing a second power measurement from the at least one RF signal received by the satellite;
analyzing by the at least one computer processor the first power measurement and the second power measurement;
curating by the at least one curation engine the first power measurement and the second power measurement, linking by the at least one link engine the first power measurement and the second power measurement, determining at least one inference by the at least one inference engine from the first power measurement and the second power measurement, and validating by the at least one validation engine the first power measurement and the second power measurement;
calculating by the at least one link engine a non-existent link, a weak link, or a strong link between the first power measurement and the second power measurement;
fusing by the at least one fusion engine the first power measurement and the second power measurement, thereby creating fused data;
wherein the fused data includes at least one new data set; and
instructing by the at least one computer processor the satellite to reorient based on the at least one new data set.
9. The method of claim 8 , further comprising predicting a future event based in part on the fused data.
10. The method of claim 8 , further comprising dynamically adjusting via the at least one link engine a threshold for the non-existent link, the weak link, or the strong link.
11. The method of claim 8 , wherein the non-existent link is a conditional entropy of 1, the strong link is a conditional entropy of between greater than 0 and less than or equal to 0.4, and the weak link is a conditional entropy of between greater than 0.4 and less than 1.
12. The method of claim 8 , further comprising fusing via the at least one fusion engine at least one first power property and/or at least one first power sub-property and at least one second power property and/or at least one second power sub-property.
13. The method of claim 12 , wherein the at least one first power property and/or the at least one first power sub-property is different than the at least one second power property and/or the at least one second power sub-property.
14. The method of claim 8 , wherein fusing the first power measurement and the second power measurement occurs in real-time.
15. A system for sensor data fusion for sensor management and utilization in satellite command and control, comprising:
at least one computer processor including a memory;
at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine; and
at least two sensors, one of the at least two sensors operable to measure a first power of at least one radio frequency (RF) signal received by a satellite at a first time and another one of the at least two sensors operable to measure second power of the at least one RF signal received by the satellite at a second time;
wherein the at least one computer processor is operable to analyze the first power and the second power;
wherein the at least one curation engine is operable to curate the first power and the second power, the at least one link engine is operable to link the first power and the second power, the at least one inference engine is operable to determine at least one inference from the first power and the second power, and the at least one validation engine is operable to validate the first power and the second power;
wherein the at least one link engine is operable to iteratively calculate a non-existent link, a weak link, or a strong link between the first power and the second power;
wherein the at least one fusion engine is operable to fuse the first power, the second power, at least one first power property and/or at least one first power sub-property, and at least one second power property and/or at least one second power sub-property, thereby creating fused data;
wherein the fused data includes at least one new data set; and
wherein the at least one computer processor is operable to instruct the satellite to reorient based on the at least one new data set.
16. The system of claim 15 , wherein the at least one new data set further includes a prediction about a future event.
17. The system of claim 15 , wherein the non-existent link is a conditional entropy of 1, the strong link is a conditional entropy of between greater than 0 and less than or equal to 0.4, and the weak link is a conditional entropy of between greater than 0.4 and less than 1.
18. The system of claim 15 , wherein the at least one fusion engine is operable to fuse the first power, the second power, the at least one first power property and/or the at least one first power sub-property, and the at least one second power property and/or the at least one second power sub-property in real-time.
19. The system of claim 15 , wherein the at least one first power property and/or the at least one first power sub-property is the same as the at least one second power property and/or the at least one second power sub-property.
20. The system of claim 15 , wherein the at least one first power property and/or the at least one first power sub-property is different than the at least one second power property and/or the at least one second power sub-property.