Systems and methods for analyzing signals of interest
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 spectrum analysis system comprising:
at least one device including a processor and a memory operable to analyze at least one signal of interest, thereby creating signal data;
wherein the at least one device is operable to compare the signal data with stored data to identify the at least one signal of interest;
wherein the at least one device is operable to determine whether sample data associated with the at least one signal of interest is valid signal data or noise;
wherein the at least one device is operable to discard the sample data when the sample data is noise;
wherein the at least one device is operable to calculate signal degradation data for the at least one signal of interest based on information associated with the at least one signal of interest in a database; and
wherein the at least one device operable to communicate at least a portion of the signal data, the stored data, the signal degradation data, and/or the identification of the at least one signal of interest over a network to at least one remote device.
2. The system of claim 1 , wherein the signal data includes:
in-phase and quadrature data of the at least one signal of interest;
energy measurements of the at least one signal of interest and a time associated with each of the energy measurements;
at least one parameter of the at least one signal of interest, the at least one parameter including at least one of modulation type, protocol data, protocol type, payload scheme, symbol rate, symbol timing data, frequency repetition interval, data type, bandwidth, source system, source location, center frequency, power, time of arrival measurement, frequency peak, peak power, average power, and/or duration; and/or
changes for the at least one signal of interest, the changes including at least one of a combination of amplitude changes and frequency changes that are averaged over bandwidth and time to compute a modulation type, frequency offset changes, orthogonal frequency division modulation changes, time changes, and/or I/Q phase rotation changes.
3. The system of claim 1 , wherein the stored data is stored in at least one database and wherein the at least one device is operable to generate a query to the at least one database to compare the signal data with the stored data.
4. The system of claim 1 , wherein identification of the at least one signal of interest occurs in near real-time.
5. The system of claim 1 , wherein the information associated with the at least one signal of interest in a database includes noise figure parameters of a transmitter outputting the signal of interest.
6. The system of claim 1 , wherein the information associated with the at least one signal of interest in a database includes hardware parameters.
7. The system of claim 1 , wherein the information associated with the at least one signal of interest in a database includes environment parameters.
8. The system of claim 1 , wherein the signal degradation data are values for free space losses of the at least one signal of interest.
9. The system of claim 1 , further comprising a radio frequency (RF) receiver operable to capture RF data including data relating to the at least one signal of interest.
10. The system of claim 9 , further comprising a location receiver operable to determine the location of the RF receiver.
11. A spectrum analysis system comprising:
a radio frequency (RF) receiver;
a device including a processor and a memory;
a display; and
a location receiver;
wherein the at least one processor is operable to:
receive location input data from the location receiver and RF energy measurements from the RF receiver for at least one signal of interest;
determine a geographic location of the at least one signal of interest based on the received location input data;
determine a time associated with the RF energy measurements and convert the received RF energy measurements into spectral representation data;
analyze the spectral representation data to identify the at least one signal of interest above a power threshold and determine at least one signal parameter of the signal of interest;
compare the at least one signal parameter of the at least one signal of interest to signal characteristic listing data in the memory to determine whether the at least one signal parameter of the at least one signal of interest matches corresponding signal parameters in the signal characteristic listing data;
identify the at least one signal of interest in near real-time for the received location input data and RF energy measurements based upon whether the at least one signal parameter of the at least one signal of interest matches any signal parameters in the signal characteristic listing data;
wherein the device is operable to determine whether sample data associated with the at least one signal of interest is valid signal data or noise;
wherein the device is operable to discard the sample data when the sample data is noise;
wherein data relating to the at least one signal parameter of the at least one signal of interest, the geographic location of the at least one signal of interest, and the time associated with the RF energy measurements are stored in the memory; and
wherein the display is operable to provide a visual representation of the at least one signal of interest including the geographic location of the at least one signal of interest.
12. The system of claim 11 , wherein the memory further includes hardware parameters to calculate signal degradation data for identifying the at least one signal of interest.
13. The system of claim 11 , wherein the memory further includes environment parameters to calculate signal degradation data for identifying the at least one signal of interest.
14. The system of claim 11 , wherein the memory further includes terrain data to calculate signal degradation data for identifying the at least one signal of interest.
15. The system of claim 11 , further comprising an optimization module operable to provide signal optimization parameters.
16. The system of claim 11 , wherein the display is further operable to provide a visual representation of the time associated with the RF energy measurements.
17. A method for spectrum analysis, comprising:
receiving a location input from a location receiver;
determining a location of a device based on the received location input;
receiving radiofrequency (RF) measurements from an RF receiver;
determining a time associated with the RF measurements;
converting the received RF measurements into spectral representation data;
analyzing the spectral representation data to identify at least one signal of interest above a power threshold;
determining at least one signal parameter of the identified signal;
determining whether sample data associated with the at least one signal of interest is valid signal data or noise;
discarding the sample data when the signal data is noise;
storing the at least one signal parameter, the location of the device, and the time associated with the RF measurements;
comparing the at least one signal parameter of the identified signal to a signal characteristic listing correlating signal parameters and signal identifications to determine whether the at least one signal parameter of the identified signal matches a signal parameter in the signal characteristic listing; and
displaying an indication of the signal identification correlated to the at least one signal parameter in the signal characteristic listing in response to determining the at least one signal parameter of the identified signal matches the signal parameter in the signal characteristic listing.
18. The method of claim 17 wherein determining the at least one signal parameter of the identified signal matches the signal parameter in the signal characteristic listing occurs in near real-time.
19. The method of claim 17 , wherein the at least one parameter includes a frequency peak of the identified signal, a peak power of the identified signal, an average power of the identified signal, a signal bandwidth of the identified signal, and/or a signal duration of the identified signal.
20. The method of claim 17 , further comprising calculating signal degradation data for the at least one signal of interest based on information associated with the at least one signal of interest including noise figure parameters of a transmitter outputting the signal of interest, hardware parameters, and/or environment parameters.