Wireless mapping in real-time using correlative passive receiver
Systems and methods for mapping location and characteristics about wireless emitters are described. The systems and methods advantageously use correlative receivers for observing the emissions from the wireless emitters without decrypting or decoding information included in the emissions from the wireless emitters to allow for tracking location and emitter class and type in real-time. The real-time geolocation and emitter class information for many receivers in a geographic area can be determined and overlaid on a map, for example.
1. A method of mapping a plurality of wireless emitters in a geographic area, the method comprising:
obtaining a set of signal inputs corresponding to wireless emissions from the plurality of wireless emitters received at three or more antennas;
processing the set of signal inputs to determine a plurality of cyclic autocorrelation functions or spectral correlation functions for a plurality of pairs of signal inputs of the set of signal inputs using a correlative receiver;
analyzing one or more of the plurality of cyclic autocorrelation functions or spectral correlation functions to identify a set of classes or types of the plurality of wireless emitters; and
determining a set of geolocations of the plurality of wireless emitters using the cyclic autocorrelation functions or the spectral correlation functions.
2. The method of claim 1 , further comprising overlaying the set of geolocations on a geographic, network, or symbolic map or geographic, network, or symbolic map data.
3. The method of claim 1 , further comprising transmitting the set of geolocations, or a subset thereof, to a remote server.
4. The method of claim 1 , wherein processing the set of signal inputs comprises:
processing multiple pairs of signal inputs from different pairs of the three or more antennas, using the correlative receiver, to determine a set of time delays associated with receiving the wireless emissions at the three or more antennas;
determining a set of angles of arrival of the wireless emissions at the three or more antennas using the set of time delays; and
determining the set of geolocations of the plurality of wireless emitters using the set of angles of arrival.
5. The method of claim 1 , wherein one or more of the antennas are directly coupled to the correlative receiver or wherein one or more of the antennas are located remotely from the correlative receiver.
6. The method of claim 1 , wherein the set of classes or types of the plurality of wireless emitters identifies at least one of a model, a manufacturer, a physical parameter, or a service provider for at least one wireless emitter of the plurality of wireless emitters.
7. The method of claim 1 , further comprising overlaying the set of geolocations and the set of classes or types of the plurality of wireless emitters on a geographic, network, or symbolic map or geographic, network, or symbolic map data.
8. The method of claim 1 , wherein determining the set of geolocations of the plurality of wireless emitters occurs in real-time or substantially in real-time.
9. The method of claim 1 , further comprising:
repeating one or more times:
obtaining a new set of signal inputs corresponding to wireless emissions from the plurality of wireless emitters received at the three or more antennas;
processing the new set of signal inputs to determine a plurality of new cyclic autocorrelation functions or new spectral correlation functions for a plurality of pairs of signal inputs of the new set of signal inputs using the correlative receiver; and
determining a new set of geolocations of the plurality of wireless emitters using the new cyclic autocorrelation functions or the new spectral correlation functions; and
tracking the set of geolocations and one or more new sets of geolocations of the plurality of wireless emitters over time.
10. The method of claim 1 , wherein determining the set of geolocations of the plurality of wireless emitters comprises determining a set of velocities of the plurality of wireless emitters.
11. A system for mapping a plurality of wireless emitters in a geographic area, the system comprising:
a correlative receiver;
three or more antennas configured for data communication with the correlative receiver, wherein the correlative receiver is configured to process a set of signal inputs corresponding to wireless emissions from the plurality of wireless emitters received at the three or more antennas to determine a plurality of cyclic autocorrelation functions or spectral correlation functions for a plurality of pairs of signal inputs of the set of signal inputs; and
one or more processors configured to:
analyze one or more of the plurality of cyclic autocorrelation functions or spectral correlation functions to identify a set of classes or types of the plurality of wireless emitters; and
determine a set of geolocations of the plurality of wireless emitters using the cyclic autocorrelation functions or the spectral correlation functions.
12. The system of claim 11 , wherein the one or more processors are further configured to overlay the set of geolocations on a geographic, network, or symbolic map or geographic, network, or symbolic map data.
13. The system of claim 11 , wherein the one or more processors are further configured to transmit the set of geolocations, or a subset thereof, to a remote server.
14. The system of claim 11 , wherein, to process the set of signal inputs, the one or more processors are configured to:
process multiple pairs of signal inputs from different pairs of the three or more antennas, using the correlative receiver, to determine a set of time delays associated with receiving the wireless emissions at the three or more antennas;
determine a set of angles of arrival of the wireless emissions at the three or more antennas using the set of time delays; and
determine the set of geolocations of the plurality of wireless emitters using the set of angles of arrival.
15. The system of claim 11 , wherein one or more of the antennas are directly coupled to the correlative receiver or wherein one or more of the antennas are located remotely from the correlative receiver.
16. The system of claim 11 , wherein the set of classes or types of the plurality of wireless emitters identifies at least one of a model, a manufacturer, a physical parameter, or a service provider for at least one wireless emitter of the plurality of wireless emitters.
17. The system of claim 11 , wherein the one or more processors are further configured to overlay the set of geolocations and the set of classes or types of the plurality of wireless emitters on a geographic, network, or symbolic map or geographic, network, or symbolic map data.
18. The system of claim 11 , wherein the one or more processors are configured to determine the set of geolocations of the plurality of wireless emitters in real-time or substantially in real-time.
19. The system of claim 11 , wherein:
the correlative receiver is further configured to, one or more times:
obtain a new set of signal inputs corresponding to wireless emissions from the plurality of wireless emitters received at the three or more antennas; and
process the new set of signal inputs to determine a plurality of new cyclic autocorrelation functions or new spectral correlation functions for a plurality of pairs of signal inputs of the new set of signal inputs using the correlative receiver; and
the one or more processors are further configured to, one or more times:
determine a new set of geolocations of the plurality of wireless emitters using the new cyclic autocorrelation functions or the new spectral correlation functions; and
track the set of geolocations and one or more new sets of geolocations of the plurality of wireless emitters over time.
20. The system of claim 11 , wherein, to determine the set of geolocations of the plurality of wireless emitters, the one or more processors are configured to determine a set of velocities of the plurality of wireless emitters.