Granted Patent B2

US 12,028,729 · App. 18/201,284 · Granted Jul 2, 2024

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 (66)

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

learning the environment, thereby creating learning data including power level measurements of the environment;

forming a knowledge map of the environment based on the power level measurements of the environment;

comparing a first sample data set and a second sample data set to determine a data difference between the first sample data set and the second sample data set;

creating a profile of the environment based on the knowledge map;

scrubbing a spectral sweep against the profile;

calculating a first derivative of the power level measurements and a second derivative of the power level measurements;

smoothing the spectral sweep with a correction vector;

detecting at least one signal in the environment based on matched positive and negative gradients;

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

creating a reconstructed signal using the data difference and the baseline;

wherein creating the reconstructed signal includes using compressed data for deltas;

wherein creating the reconstructed signal includes filling gaps where data of the at least one signal is absent;

subtracting the baseline from the spectral sweep to reveal the at least one signal;

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

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 and/or detecting results in real time on a remote 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 periodically reevaluating the environment and updating the knowledge map.

6. The method of claim 1 , wherein the learning the environment is based on statistical learning techniques.

7. The method of claim 1 , further comprising sending a notification and/or an alarm to at least one remote device after detecting the at least one signal.

8. The method of claim 1 , wherein one or more of the at least one signal is a narrowband signal hidden in a wideband signal.

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

at least one apparatus for detecting signals in the environment;

wherein the at least one apparatus is operable to sweep and learn the environment, thereby creating learning data including power level measurements of the environment;

wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements of the environment;

wherein the at least one apparatus is operable to compare a first sample data set and a second sample data set to determine a data difference between the first sample data set and the second sample data set;

wherein the at least one apparatus is operable to create a profile of the environment based on the knowledge map;

wherein the at least one apparatus is operable to scrub a spectral sweep against the profile;

wherein the at least one apparatus is operable to calculate a first derivative of the power level measurements and a second derivative of the power level measurements;

wherein the at least one apparatus is operable to smooth the spectral sweep with a correction vector;

wherein the at least one apparatus is operable to detect at least one signal in the environment based on matched positive and negative gradients;

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

wherein the at least one apparatus is operable to create a reconstructed signal using the data difference and the baseline;

wherein the at least one apparatus is operable to create the reconstructed signal using compressed data for deltas;

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;

wherein the at least one apparatus is operable to subtract the baseline from a spectral sweep to reveal the at least one signal; and

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.

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 , further comprising a remote device in network-based communication with the at least one apparatus, wherein the knowledge map and/or detecting results are displayed on a remote device in real time.

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 periodically reevaluates the environment and updates the knowledge map.

14. The system of claim 9 , wherein the at least one apparatus is operable to learn the environment based on statistical learning techniques.

15. The system of claim 9 , wherein one or more of the at least one signal is a narrowband signal hidden in a wideband signal.

16. The system of claim 9 , wherein one or more of the at least one apparatus includes a global positioning system (GPS) receiver.

17. The system of claim 9 , wherein the at least one apparatus is operable to obtain a different knowledge map by communicating with another apparatus.

18. A system for automatic signal detection and/or interference detection in an environment, comprising:

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

at least one remote device;

wherein the at least one apparatus is operable to sweep and learn the environment, thereby creating learning data including power level measurements of the environment;

wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements of the environment;

wherein the at least one apparatus is operable to compare a first sample data set and a second sample data set to determine a data difference between the first sample data set and the second sample data set;

wherein the at least one apparatus is operable to create a profile of the environment based on the knowledge map;

wherein the at least one apparatus is operable to scrub a spectral sweep against the profile;

wherein the at least one apparatus is operable to calculate derivatives of the power level measurements;

wherein the at least one apparatus is operable to smooth the spectral sweep with a correction vector;

wherein the at least one apparatus is operable to detect at least one signal in the environment;

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

wherein the at least one apparatus is operable to create a reconstructed signal using the data difference and the baseline;

wherein the at least one apparatus is operable to create the reconstructed signal using compressed data for deltas;

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;

wherein the at least one apparatus is operable to subtract the baseline from the spectral sweep to reveal the at least one signal;

wherein the at least one apparatus is operable to send a notification and/or an alarm to the at least one remote device after detecting the at least one signal

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.

19. The system of claim 18 , wherein the at least one apparatus is operable to index the power level measurements for each frequency interval in a spectrum section.

20. The system of claim 18 , wherein one or more of the at least one signal is a narrowband signal hidden in a wideband signal.

Assignments (2)

Continuity (19)