IP Library Granted Patent US 12,095,518
Granted Patent B2
US 12,095,518 · App. 18/434,178 · Granted Sep 17, 2024

Systems, methods, and devices for electronic spectrum management

Inventors: Gabriel R. Garcia (Severna Park, MD); Daniel Carbajal (Severna Park, MD)
Assignee: DIGITAL GLOBAL SYSTEMS, INC.
H04B17/27H04B17/23H04B17/309H04B17/318H04W4/029H04W16/14H04W24/08H04W24/10H04W64/006H04W72/0446H04W72/0453H04W72/51H04W72/541H04B17/3911
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Quick Facts
Patent No.
US 12,095,518
App. No.
18/434,178
Granted
Sep 17, 2024
Kind
B2
Abstract

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.

Claims (60)

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;

wherein the at least one device is operable to compare signal data of the at least one signal of interest 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;

wherein the signal degradation data is used with measured terrain data of geographic locations to perform pattern distortion, generate propagation models, and/or generate next neighbor interference models; and

wherein the signal degradation data is based on hardware parameters of the at least one 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 environment parameters.

7. The system of claim 1 , wherein the signal degradation data are values for free space losses of the at least one signal of interest.

8. 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.

9. The system of claim 8 , further comprising a location receiver operable to determine the location of the RF receiver.

10. The system of claim 1 , further comprising an optimization module operable to provide signal optimization parameters.

11. A spectrum analysis system comprising:

a radio frequency (RF) receiver;

a device including a processor and a memory; 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 determine at least one signal parameter of the at least one 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 the 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;

wherein the signal degradation data is used with measured terrain data of geographic locations to perform pattern distortion, generate propagation models and/or generate next neighbor interference models; and

wherein the signal degradation data is based on hardware parameters of the device.

12. 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.

13. The system of claim 11 , further comprising an optimization module operable to provide signal optimization parameters.

14. 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.

15. The system of claim 11 , wherein the signal degradation data are values for free space losses of the at least one signal of interest.

16. The system of claim 11 , wherein the RF receiver is operable to capture RF data including data relating to the at least one signal of interest.

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

calculating 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;

wherein the signal degradation includes measured terrain data of geographic locations for performing pattern distortion, generating propagation models and/or next neighbor interference models; and

wherein the signal degradation data is based on hardware parameters of the device.

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 , wherein the signal degradation data is based on noise figure parameters of a transmitter outputting the at least one signal of interest and/or environment parameters.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 20, 2024
From: CARBAJAL, DANIEL
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 066498/0789 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 20, 2024
From: GARCIA, GABRIEL R.
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 066499/0018 →
Continuity (12)
Continuation 18374385 · Sep 28, 2023
Continuation 18137785 · Apr 21, 2023
Continuation 18082210 · Dec 15, 2022
Continuation 17569984 · Jan 6, 2022
Continuation 16751887 · Jan 24, 2020
Continuation 16395987 · Apr 26, 2019
Continuation 16002751 · Jun 7, 2018
Continuation 15228325 · Aug 4, 2016
Continuation 14743011 · Jun 18, 2015
Continuation 13912893 · Jun 7, 2013
Provisional Application 61789758 · Mar 15, 2013
Related Publication 20240214085A1 · Jun 27, 2024
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