SYSTEMS AND METHODS OF SENSOR DATA FUSION

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 data of at least one RF signal sent or received by a satellite; and

at least one second RF power sensor operable to capture a second power measurement data of the at least one RF signal sent or received by the satellite;

wherein the at least one computer processor is operable to analyze the first power measurement data and the second power measurement data;

wherein the at least one curation engine is operable to curate the first power measurement data and the second power measurement data, creating a curated first power measurement data and a curated second power measurement data, the at least one link engine is operable to link the curated first power measurement data and the curated second power measurement data, the at least one fusion engine is operable to fuse the curated first power measurement data and the curated second power measurement data, the at least one inference engine is operable to determine at least one inference from the curated first power measurement data and the curated second power measurement data, and the at least one validation engine is operable to validate the curated first power measurement data and the curated second power measurement data;

wherein the at least one link engine is operable to link the curated first power measurement data and the curated second power measurement data based in part on at least one first power property and at least one second power property or at least one first power sub-property and at least one second power sub-property;

wherein the at least one link engine is operable to calculate a conditional property entropy between the at least one first power property and the at least one second power property or a conditional sub-property entropy between the at least one first power sub-property and the at least one second power sub-property;

wherein the at least one link engine is operable to determine if the link between the curated first power measurement data and the curated second power measurement data is a non-existent link, a weak link, or a strong link via the conditional property entropy and/or the conditional sub-property entropy;

wherein the at least one fusion engine creates at least one new data set; and

wherein the at least one computer processor is operable to instruct the satellite to move from a first orientation to a second orientation based on the at least one new data set.

2 . The system of claim 1 , wherein the at least one curation engine is operable to use artificial intelligence to determine 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 for the at least one link engine to calculate the conditional property entropy and/or the conditional sub-property entropy.

3 . The system of claim 1 , wherein the non-existent link is a conditional property entropy and/or a conditional sub-property entropy of 1, the weak link is a conditional property entropy and/or a conditional sub-property entropy of between less than 1 and greater than or equal to 0.4, and the strong link is a conditional property entropy and/or a conditional sub-property entropy of between less than 0.4 and 0.

4 . The system of claim 1 , wherein the at least one inference engine is operable to determine an accuracy value for the at least one first RF power sensor and the at least one second RF power sensor.

5 . The system of claim 1 , wherein the at least one link engine is operable to iteratively calculate the conditional property entropy and/or the conditional sub-property entropy of the weak link until the at least one link engine calculates the non-existent link or the strong link.

6 . The system of claim 1 , wherein the at least one link engine is operable to link the curated first power measurement data and the curated second power measurement data in real-time.

7 . The system of claim 1 , wherein the system does not store the curated first power measurement data and/or the curated second power measurement data unless the at least one validation engine validates fused sensor data.

8 . The system of claim 1 , wherein the at least one first RF power sensor and/or the at least one second RF power sensor includes a thermal power sensor, a diode detector, and/or a spectrometer.

9 . 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 data of at least one RF signal sent or received by a satellite;

at least one second RF power sensor capturing a second power measurement data from the at least one RF signal sent or received by the satellite;

analyzing by the at least one computer processor the first power measurement data and the second power measurement data;

curating by the at least one curation engine the first power measurement data and the second power measurement data, creating a curated first power measurement data and a curated second power measurement data, linking by the at least one link engine the curated first power measurement data and the curated second power measurement data, fusing by the at least one fusion engine the curated first power measurement data and the curated second power measurement data, determining by the at least one inference engine at least one inference from the curated first power measurement data and the curated second power measurement data, and validating by the at least one validation engine the curated first power measurement data and the curated second power measurement data;

linking by the at least one link engine the curated first power measurement data and the curated second power measurement data based in part on at least one first power property and at least one second power property or at least one first power sub-property and at least one second power sub-property;

calculating by the at least one link engine a conditional property entropy between the at least one first power property and the at least one second power property or a conditional sub-property entropy between the at least one first power sub-property and the at least one second power sub-property;

determining by the at least one link engine if the link between the curated first power measurement data and the curated second power measurement data is a non-existent link, a weak link, or a strong link via the conditional property entropy and/or the conditional sub-property entropy;

creating by the at least one fusion engine at least one new data set; and

instructing by the at least one computer processor the satellite to move from a first orientation to a second orientation based on the at least one new data set.

10 . The method of claim 9 , wherein the non-existent link is a conditional property entropy and/or a conditional sub-property entropy of 1, the weak link is a conditional property entropy and/or a conditional sub-property entropy of between less than 1 and greater than or equal to 0.4, and the strong link is a conditional property entropy and/or a conditional sub-property entropy of between less than 0.4 and 0.

11 . The method of claim 9 , further comprising the at least one curation engine categorizing 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 for the at least one link engine to calculate the conditional property entropy and/or the conditional sub-property entropy using artificial intelligence based in part on historical accuracy of previous categorizations using artificial intelligence.

12 . The method of claim 9 , wherein the at least one inference engine is operable to determine an accuracy value for the at least one first RF power sensor and the at least one second RF power sensor.

13 . The method of claim 9 , further comprising iterating calculations so that the at least one link engine continuously calculates the conditional property entropy and/or the conditional sub-property entropy of the weak link until the at least one link engine calculates the non-existent link or the strong link.

14 . The method of claim 9 , 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.

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, each of the at least two sensors operable to measure a first power of at least one radio frequency (RF) signal sent or received by a satellite and a second power of the at least one RF signal sent or received by the satellite;

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, creating a curated first power and a curated second power, the at least one link engine is operable to link the curated first power and the curated second power, the at least one fusion engine is operable to fuse the curated first power and the curated second power, the at least one inference engine is operable to determine at least one inference from the curated first power and the curated second power, and the at least one validation engine is operable to validate the curated first power and the curated second power;

wherein the at least one link engine is operable to link the curated first power and the curated second power based in part on at least one first power property and at least one second power property or at least one first power sub-property and at least one second power sub-property;

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;

wherein the at least one link engine is operable to calculate a conditional property entropy between the at least one first power property and the at least one second power property or a conditional sub-property entropy between the at least one first power sub-property and the at least one second power sub-property;

wherein the at least one link engine is operable to determine if the link between the curated first power and the curated second power is a non-existent link, a weak link, or a strong link via the conditional property entropy and/or the conditional sub-property entropy;

wherein the at least one fusion engine creates at least one new data set; and

wherein the at least one computer processor is operable to instruct the satellite to adjust from a first orientation to a second orientation based on the at least one new data set.

16 . The system of claim 15 , wherein the non-existent link is a conditional property entropy and/or a conditional sub-property entropy of 1, the weak link is a conditional property entropy and/or a conditional sub-property entropy of between less than 1 and greater than or equal to 0.4, and the strong link is a conditional property entropy and/or a conditional sub-property entropy of between less than 0.4 and 0.

17 . The system of claim 15 , wherein the at least one link engine is operable to link the curated first power and the curated second power in real-time.

18 . The system of claim 15 , wherein the at least one inference engine is operable to determine an accuracy value for the at least two sensors.

19 . The system of claim 15 , wherein the system does not store the curated first power or the curated second power unless the at least one validation engine validates fused sensor data.

20 . The system of claim 15 , 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.