IP Library Granted Patent US 12,191,925
Granted Patent B2
US 12,191,925 · App. 18/792,113 · Granted Jan 7, 2025

Systems and methods for spectrum analysis utilizing signal degradation data

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 12,191,925
App. No.
18/792,113
Granted
Jan 7, 2025
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 (37)

1. A spectrum analysis system comprising:

a radiofrequency (RF) receiver operable to capture RF data including data relating to the at least one signal of interest; and

at least one device including a processor and a memory operable to receive and analyze the RF data to identify the at least one signal of interest;

wherein the at least one device is operable to determine signal degradation data for the at least one signal of interest;

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;

wherein the signal degradation data is based on noise figure parameters, hardware parameters, and environmental parameters of the at least one device; and

wherein the hardware parameters comprise antenna type, orientation, azimuth, gain, and/or effective isotropic radiated power (EIRP).

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

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

4. The system of claim 3 , wherein the optimization module is operable to provide the signal optimization parameters for center frequency, bandwidth, and/or power.

5. The system of claim 1 , wherein the at least one device is operable to compare the data relating to the at least one signal of interest with stored data.

6. The system of claim 1 , wherein the at least one device is operable to identify the at least one signal of interest in real-time or near real-time.

7. A spectrum analysis system comprising:

a radiofrequency (RF) receiver operable to capture RF data including data relating to the at least one signal of interest; and

at least one device including a processor and a memory operable to receive and analyze the RF data to identify the at least one signal of interest;

wherein the at least one device is operable to determine signal degradation data for the at least one signal of interest;

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;

wherein the signal degradation data is based on noise figure parameters, hardware parameters, and environmental parameters of the at least one device;

wherein the hardware parameters comprise antenna type, orientation, azimuth, gain, and/or effective isotropic radiated power (EIRP); and

wherein the environmental parameters comprise rain, fog, and/or haze.

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

9. The system of claim 7 , further comprising an optimization module operable to provide signal optimization parameters.

10. The system of claim 9 , wherein the optimization module is operable to provide the signal optimization parameters for center frequency, bandwidth, and/or power.

11. The system of claim 7 , wherein the at least one device is operable to compare the data relating to the at least one signal of interest with stored data.

12. The system of claim 7 , wherein the at least one device is operable to identify the at least one signal of interest in real-time or near real-time.

13. A method for spectrum analysis, comprising:

a radiofrequency (RF) receiver capturing RF data including data relating to the at least one signal of interest;

at least one device including a processor and a memory analyzing the RF data to identify the at least one signal of interest;

the at least one device determining signal degradation data for the at least one signal of interest; and

performing pattern distortion, generating propagation models, and/or generating next neighbor interference models using the signal degradation data and measured terrain data;

wherein the signal degradation data is based on noise figure parameters, hardware parameters, and environmental parameters of the at least one device; and

wherein the hardware parameters comprise antenna type, orientation, azimuth, gain, and/or effective isotropic radiated power (EIRP).

14. The method of claim 13 , wherein the signal degradation data includes values for free space losses of the at least one signal of interest.

15. The method of claim 13 , further comprising an optimization module providing signal optimization parameters.

16. The method of claim 15 , wherein the optimization module provides the signal optimization parameters for center frequency, bandwidth, and/or power.

17. The method of claim 13 , wherein the at least one device identifies the at least one signal of interest in real-time or near real-time.

18. The method of claim 13 , wherein the signal degradation data is based on hardware parameters.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 12, 2024
From: CARBAJAL, DANIEL; GARCIA, GABRIEL R.
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 068252/0570 →
Continuity (13)
Continuation 18434178 · Feb 6, 2024
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 20240396646A1 · Nov 28, 2024
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