IP Library Granted Patent US 11,956,025
Granted Patent B2
US 11,956,025 · App. 18/368,317 · Granted Apr 9, 2024

Systems, methods, and devices for automatic signal detection based on power distribution by frequency over time within an electromagnetic spectrum

Inventors: David William Kleinbeck (Lees Summit, MO); Ronald C. Dzierwa (Baltimore, MD)
Assignee: DIGITAL GLOBAL SYSTEMS, INC.
H04B17/309H04B17/20H04B17/23H04B17/26H04B17/27H04B17/29H04W24/08H04W24/10H04W64/00H04B17/24H04W24/04
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Quick Facts
Patent No.
US 11,956,025
App. No.
18/368,317
Granted
Apr 9, 2024
Kind
B2
Abstract

Systems, methods, and apparatus for automatic signal detection in a radio-frequency (RF) environment are disclosed. At least one node device is in a fixed nodal network. The at least one node device is operable to measure and learn the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The at least one node device is operable to create a spectrum map based on the learning data. The at least one node device is operable to calculate a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of fast Fourier transform (FFT) data of the RF environment. The at least one node device is operable to identify at least one signal based on the first derivative and the second derivative of FFT data.

Claims (59)

1. A system for signal or interference detection in an electromagnetic environment, comprising:

at least one event manager;

at least one receiver operable to receive electromagnetic environment data;

at least one node including at least one signal processor operable to process the electromagnetic environment data; and

at least one server or cloud-based system in network communication with the at least one node;

wherein the at least one receiver is in communication with the at least one node;

wherein the at least one node includes an edge processor or is in network communication with the edge processor;

wherein the edge processor is operable to receive processed signal data from the at least one signal processor;

wherein the at least one signal processor is operable to process the signal data using compressed data for deltas from a baseline determined using matched positive and negative gradients;

wherein the at least one signal processor is operable to use a calibration vector to de-bias raw signal data;

wherein the at least one signal processor is operable to determine if at least one signal is moving using a frequency-locked loop by determining if there is a Doppler change in the at least one signal;

wherein the edge processor is operable to analyze the processed signal data;

wherein the at least one node is operable to send the analyzed, processed signal data to the at least one server or the cloud-based system;

wherein the edge processor is operable to analyze the processed signal data by conducting a first fast Fourier transform (FFT) analysis and a second FFT analysis, aggregating the first FFT analysis and the second FFT analysis in order to create baselines to be used in reporting, comparing incoming FFTs to the baseline in order to detect potential conflicts;

wherein the edge processor is operable to send data regarding the potential conflicts to the event manager; and

wherein the event manager is operable to decide a course of action based on the potential conflicts.

2. The system of claim 1 , wherein the edge processor is operable to calculate a power distribution by frequency of the electromagnetic environment.

3. The system of claim 1 , wherein the edge processor is operable to analyze the processed signal data based on FFT data of the electromagnetic environment.

4. The system of claim 3 , wherein the FFT data of the electromagnetic environment includes a first derivative of the FFT data and a second derivative of the FFT data.

5. The system of claim 1 , wherein the edge processor is operable to track the at least one signal in near real-time.

6. The system of claim 1 , further comprising a power distribution by frequency over time (PDFT) processor is operable to automatically detect the at least one signal.

7. The system of claim 1 , wherein a FFT engine is operable to track the at least one signal in near real-time.

8. The system of claim 1 , wherein the analyzed, processed signal data indicates one or more signals are interference.

9. A system for signal or interference detection in an electromagnetic environment, comprising:

at least one event manager;

at least one receiver operable to receive electromagnetic environment data; and

at least one node including at least one signal processor operable to process the electromagnetic environment data;

wherein the at least one receiver is in communication with the at least one node;

wherein the at least one node includes an edge processor or is in network communication with the edge processor;

wherein the edge processor is operable to receive processed signal data from the at least one signal processor;

wherein the at least one signal processor is operable to process the signal data using compressed data for deltas from a baseline determined using matched positive and negative gradients;

wherein the at least one signal processor is operable to use a calibration vector to de-bias raw signal data;

wherein the edge processor is operable to analyze the processed signal data by conducting a first fast Fourier transform (FFT) analysis and a second FFT analysis, aggregating the first FFT analysis and the second FFT analysis in order to create baselines to be used in reporting, comparing incoming FFTs to the baseline in order to detect potential conflicts;

wherein the edge processor is operable to send data regarding the potential conflicts to the event manager; and

wherein the event manager is operable to decide a course of action based on the potential conflicts.

10. The system of claim 9 , wherein the edge processor is operable to calculate a power distribution by frequency of the electromagnetic environment.

11. The system of claim 9 , wherein the edge processor is operable to analyze the processed signal data based on FFT data of the electromagnetic environment.

12. The system of claim 11 , wherein the FFT data of the electromagnetic environment includes a first derivative of the FFT data and a second derivative of the FFT data.

13. The system of claim 9 , wherein the edge processor is operable to track at least one signal in near real-time.

14. The system of claim 9 , further comprising a power distribution by frequency over time (PDFT) processor is operable to automatically detect at least one signal.

15. The system of claim 9 , wherein a FFT engine is operable to track at least one signal in near real-time.

16. The system of claim 9 , wherein the analyzed, processed signal data indicates one or more signals are interference.

17. A system for signal or interference detection in an electromagnetic environment, comprising:

at least one event manager;

at least one receiver operable to receive electromagnetic environment data;

at least one node including at least one signal processor operable to process the electromagnetic environment data; and

wherein the at least one receiver is in communication with the at least one node;

wherein the at least one node includes an edge processor or is in network communication with the edge processor;

wherein the edge processor is operable to receive processed signal data from the at least one signal processor;

wherein the at least one signal processor is operable to process the signal data using compressed data for deltas from a baseline determined using matched positive and negative gradients;

wherein the at least one signal processor is operable to use a calibration vector to de-bias raw signal data;

wherein the edge processor is operable to analyze the processed electromagnetic environment data by conducting a first fast Fourier transform (FFT) analysis and a second FFT analysis, aggregating the first FFT analysis and the second FFT analysis in order to create baselines to be used in reporting, comparing incoming FFTs to the baseline in order to detect potential conflicts;

wherein the edge processor is operable to send data regarding the potential conflicts to the event manager;

wherein the event manager is operable to decide a course of action based on the potential conflicts;

wherein the edge processor is operable to calculate a power distribution by frequency of the electromagnetic environment based on FFT data of the electromagnetic environment including a first derivative of the FFT data and a second derivative of the FFT data; and

wherein an FFT engine is operable to track at least one signal using edge processing and the first derivative of the FFT data and/or the second derivative of the FFT data.

18. The system of claim 17 , further comprising a power distribution by frequency over time (PDFT) processor is operable to automatically detect the at least one signal.

19. The system of claim 17 , wherein the FFT engine is operable to track the at least one signal in near real-time using edge processing and the first derivative of the FFT data and/or the second derivative of the FFT data.

20. The system of claim 17 , wherein the at least one signal is interference.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 18, 2023
From: KLEINBECK, DAVID WILLIAM
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 064930/0245 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 18, 2023
From: DZIERWA, RONALD C.
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 064936/0909 →
Continuity (15)
Continuation 17507302 · Oct 21, 2021
Continuation 16863587 · Apr 30, 2020
Continuation 16517067 · Jul 19, 2019
Continuation 16408153 · May 9, 2019
Continuation In Part 16360841 · Mar 21, 2019
Continuation In Part 16275575 · Feb 14, 2019
Continuation In Part 16274933 · Feb 13, 2019
Continuation In Part 16180690 · Nov 5, 2018
Continuation 15681521 · Aug 21, 2017
Continuation In Part 15478916 · Apr 4, 2017
Continuation In Part 15412982 · Jan 23, 2017
Continuation In Part 15412982 · Jan 23, 2017
Provisional Application 62722420 · Aug 24, 2018
Provisional Application 62632276 · Feb 19, 2018
Related Publication 20240007204A1 · Jan 4, 2024