Systems, methods, and devices for electronic spectrum management
Methods for tracking a signal origin by a spectrum analysis and management device are disclosed. Signal characteristics of other known emitters are used for obtaining a position of an emitter of a signal of interest. In one embodiment, frequency difference of arrival technique is implemented. In another embodiment, time difference of arrival technique is implemented.
1. A method for tracking a signal origin using a spectrum analysis and management device, comprising:
determining a Time Difference of Arrival or a Frequency Difference of Arrival for a signal of interest;
identifying a location from which the signal of interest is transmitted;
determining that at least four known emitters are present at the location;
collecting and measuring a Received Signal Strength (RSS) of the at least four known emitters and the signal of interest;
measuring a frequency shift using the RSS;
obtaining a cross ambiguity function for the signal of interest; and
resolving a position of an emitter from which the signal of interest is emitted;
wherein the RSS of the at least four known emitters and the signal of interest are collected and measured by using frequency, bandwidth, power, and distance values of the at least four known emitters and their respective signals and the signal of interest.
2. The method of claim 1 , further comprising identifying the location based on coordinates provided from a Global Positioning System (GPS) receiver.
3. The method of claim 1 , wherein the determination that at least four known emitters are present at the location is made by comparing coordinates of the location to location data stored in a database.
4. The method of claim 1 , further comprising displaying the position of the emitter on a display of the spectrum analysis and management device.
5. The method of claim 1 , further comprising determining whether the cross ambiguity function converges to a solution.
6. The method of claim 5 , wherein the cross ambiguity function converges to a solution, further comprising:
aggregating frequency shift data; and
applying one or more filters to the aggregated frequency shift data.
7. The method of claim 6 , wherein the one or more filters includes a Kalman filter.
8. The method of claim 6 , further comprising applying equations and additional filters to the aggregated frequency shift data.
9. The method of claim 8 , wherein the equations include weighted least squares equations or maximum likelihood equations.
10. The method of claim 8 , wherein the additional filters are non-line-of-sight filters.
11. The method of claim 5 , wherein the cross ambiguity function converges to a solution, further comprising resolving the position of the emitter of the signal of interest to within 3 meters based on the cross ambiguity function.
12. The method of claim 5 , wherein the cross ambiguity function does not converge to a solution, further comprising:
determining a time shift of the signal of interest; and
aggregating time shift data.
13. The method of claim 12 , further comprising filtering the time shift data to reduce interference.
14. The method of claim 1 , further comprising storing the location from which the signal of interest is transmitted, a time of transmission at the location, and a duration of transmission at the location in a database.
15. A method for tracking a signal origin using a spectrum analysis and management device, comprising:
determining a Time Difference of Arrival or a Frequency Difference of Arrival for a signal of interest;
identifying a location from which the signal of interest is transmitted;
determining that at least four known emitters are present at the location;
collecting and measuring a Received Signal Strength (RSS) of the at least four known emitters and the signal of interest;
measuring a frequency shift using the RSS;
obtaining a cross ambiguity function for the signal of interest;
determining that the cross ambiguity function does not converge to a solution; and
resolving a position of an emitter from which the signal of interest is emitted;
wherein the RSS of the at least four known emitters and the signal of interest are collected and measured by using frequency, bandwidth, power, and distance values of the at least four known emitters and their respective signals and the signal of interest.
16. The method of claim 15 , further comprising:
aggregating frequency shift data; and
applying one or more filters to the aggregated frequency shift data.
17. The method of claim 16 , wherein the one or more filters includes a Kalman filter.
18. The method of claim 16 , further comprising applying equations and additional filters to the aggregated frequency shift data.
19. A method for tracking a signal origin using a spectrum analysis and management device, comprising:
determining a Time Difference of Arrival or a Frequency Difference of Arrival for a signal of interest;
identifying a location from which the signal of interest is transmitted based on coordinates provided from a Global Positioning System (GPS) receiver;
determining that at least four known emitters are present at the location;
collecting and measuring a Received Signal Strength (RSS) of the at least four known emitters and the signal of interest;
measuring a frequency shift using the RSS;
obtaining a cross ambiguity function for the signal of interest;
determining that the cross ambiguity function does not converge to a solution; and
resolving a position of an emitter from which the signal of interest is emitted;
wherein the RSS of the at least four known emitters and the signal of interest are collected and measured by using frequency, bandwidth, power, and distance values of the at least four known emitters and their respective signals and the signal of interest.
20. The method of claim 19 , further comprising:
determining a time shift of the signal of interest; and
aggregating time shift data.