Granted Patent B2

US 12,610,265 · App. 19/358,926 · Granted Apr 21, 2026

Inventors: Daniel Carbajal (Severna Park, MD); Ronald C. Dzierwa (Baltimore, MD)

Assignee: Digital Global Systems, Inc.

H04W24/08H04L27/00H04L27/0006H04W16/14H04W64/006H04W72/0453H04W76/11H04W24/02

Abstract

Claims (55)

1 . A method for automatic signal detection in an electromagnetic environment, comprising:

forming a knowledge map of the electromagnetic environment based on power level measurements of one or more frequency bins within the electromagnetic environment;

averaging a spectral sweep of the electromagnetic environment;

identifying positive and negative gradients by accumulating a gradient value along the spectral sweep, then evaluating the gradient value when a slope of the spectral sweep changes direction;

matching the positive and negative gradients;

removing areas identified by the matched positive and negative gradients and connecting points between removed areas to determine a baseline;

decompressing and reconstructing at least one signal using compressed data for deltas and the baseline, creating a reconstructed signal; and

identifying the at least one signal based upon whether a signal parameter of the at least one signal matches any signal parameters in signal characteristic listing data in a database including hardware parameters;

wherein the hardware parameters include antenna position, antenna type, orientation, azimuth, gain, and/or equivalent isotropically radiated power (EIRP) for a transmitter associated with the at least one signal;

wherein the deltas are differentials from the baseline;

wherein detecting the at least one signal in the electromagnetic environment comprises fine-tuning a threshold of power level on a segmented basis while extracting at least one temporal feature from the knowledge map; and

wherein the threshold of power level is fine-tuned based on the hardware parameters and/or stored terrain data.

2 . The method of claim 1 , further comprising indexing the power level measurements for each frequency interval in a spectrum section.

3 . The method of claim 1 , further comprising displaying the knowledge map on a display device.

4 . The method of claim 1 , wherein frequency resolution of the knowledge map is based on a Fast Fourier Transform (FFT) size setting.

5 . The method of claim 1 , further comprising smoothing the spectral sweep using a smoothing filter that takes an average of the power level measurements over time.

6 . The method of claim 1 , wherein the threshold of power level is operable to be variable between the one or more frequency bins.

7 . The method of claim 1 , wherein creating the reconstructed signal includes filling gaps where data of the at least one signal is absent.

8 . The method of claim 1 , wherein creating the deltas provides for signal identification, interference identification, neighboring band identification, device identification, and/or signal optimization.

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

at least one apparatus for detecting signals in the electromagnetic environment;

wherein the at least one apparatus is operable to measure power levels of one or more frequency bins within the electromagnetic environment;

wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements of the one or more frequency bins within the electromagnetic environment;

wherein the at least one apparatus is operable to remove areas identified by matched positive and negative gradients and connect points between removed areas to determine a baseline;

wherein the matched positive and negative gradients are identified by accumulating a gradient value along a spectral sweep, then evaluating the gradient value when a slope of the spectral sweep changes direction;

wherein the at least one apparatus is operable to identify at least one signal based upon whether a signal parameter of the at least one signal matches any signal parameters in signal characteristic listing data in a database including hardware parameters;

wherein the hardware parameters include antenna position, antenna type, orientation, azimuth, gain, and/or equivalent isotropically radiated power (EIRP) for a transmitter associated with the at least one signal;

wherein the at least one apparatus is operable to decompress and reconstruct the at least one signal using compressed data for deltas and the baseline, creating a reconstructed signal;

wherein the deltas are differentials from the baseline;

wherein the at least one apparatus is operable to fine-tune a threshold of power level on a segmented basis while extracting at least one temporal feature from the knowledge map;

wherein the threshold of power level is fine-tuned based on the hardware parameters and/or stored terrain data; and

wherein the threshold of power level is operable to be variable between the one or more frequency bins.

10 . The system of claim 9 , wherein the at least one apparatus is operable to index the power level measurements for each frequency interval in a spectrum section.

11 . The system of claim 9 , wherein the at least one apparatus is operable to fill gaps during creation of the reconstructed signal where data of the at least one signal is absent.

12 . The system of claim 9 , wherein frequency resolution of the knowledge map is based on a Fast Fourier Transform (FFT) size setting.

13 . The system of claim 9 , wherein the at least one apparatus is operable to smooth the spectral sweep based on a smoothing filter that takes an average of the power level measurements over time.

14 . The system of claim 9 , further comprising at least one display device operable to display the knowledge map.

15 . The system of claim 9 , wherein the deltas are operable to be used for signal identification, interference identification, neighboring band identification, device identification, and/or signal optimization.

16 . A method for automatic signal detection in an electromagnetic environment, comprising:

measuring power levels of one or more frequency bins within the electromagnetic environment;

averaging a spectral sweep;

identifying positive and negative gradients by accumulating a gradient value along the spectral sweep, then evaluating the gradient value when a slope of the spectral sweep changes direction;

matching the positive and negative gradients;

removing areas identified by the matched positive and negative gradients, and connecting points between removed areas to determine a baseline;

decompressing and reconstructing at least one signal using compressed data for deltas and the baseline, creating a reconstructed signal; and

identifying the at least one signal based upon whether a signal parameter of the at least one signal matches any signal parameters in signal characteristic listing data in a database including hardware parameters;

wherein the hardware parameters include antenna position, antenna type, orientation, azimuth, gain, and/or equivalent isotropically radiated power (EIRP) for a transmitter associated with the at least one signal;

wherein the deltas are differentials from the baseline;

wherein detecting the at least one signal in the electromagnetic environment comprises fine-tuning a threshold of power level on a segmented basis;

wherein the threshold of power level is fine-tuned based on the hardware parameters and/or stored terrain data; and

wherein the threshold of power level is operable to be variable between the one or more frequency bins.

17 . The method of claim 16 , further comprising creating a profile of the electromagnetic environment based on the power levels of the one or more frequency bins within the electromagnetic environment.

18 . The method of claim 17 , further comprising scrubbing the spectral sweep against the profile.

19 . The method of claim 16 , wherein creating the reconstructed signal includes filling gaps where data of the at least one signal is absent.

20 . The method of claim 16 , further comprising smoothing the spectral sweep based on a smoothing filter that takes an average of the power level measurements over time.

Assignments (2)

Continuity (23)

References Cited (400)