Granted Patent B2

US 11,943,737 · App. 18/374,395 · Granted Mar 26, 2024

Inventors: Ronald C. Dzierwa (Baltimore, MD); Daniel Carbajal (Severna Park, MD); David William Kleinbeck (Lees Summit, MO)

Assignee: DIGITAL GLOBAL SYSTEMS, INC.

H04W64/00H04B17/23H04B17/26H04B17/318H04B17/373H04L27/0006H04L27/0012H04L27/265H04W16/14

Abstract

Claims (37)

1. A method for spectrum analysis, comprising:

receiving radiofrequency (RF) measurements corresponding to at least one signal from a 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 and determine a signal parameter of the at least one signal;

comparing the signal parameter of the at least one signal to signal characteristic listing data in a static database to determine whether the signal parameter of the at least one signal matches corresponding signal parameters in the signal characteristic listing data;

identifying the at least one signal based upon whether the signal parameter of the at least one signal matches any signal parameters in the signal characteristic listing data in the static database including hardware parameters, environment parameters, and terrain data;

wherein identifying the at least one signal includes calculating a threshold bar based on the hardware parameters, environment parameters, and terrain data to identify signals instead of noise;

determining if the 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;

determining a geographic location of the at least one signal by synthesizing an aperture between any two monitoring units of a monitoring array based on a difference of time of arrival;

generating degradation data associated with the at least one signal and at least one signal optimization parameter indicating at least one step to optimize the at least one signal; and

storing data related to the signal parameter and the degradation data in a memory.

2. The method of claim 1 , further comprising collecting data from known signals or unknown signals and time spacing the data.

3. The method of claim 1 , further comprising displaying the geographic location of the at least one signal on a display.

4. The method of claim 1 , further comprising providing attributes of the at least one signal within a spectrum of interest.

5. The method of claim 1 , further comprising generating a visual representation of the at least one signal.

6. The method of claim 1 , further comprising analyzing a plurality of signal parameters at one time for each of the at least one signal.

7. The method of claim 1 , further comprising classifying the at least one signal.

8. The method of claim 1 , further comprising creating a channel plan.

9. The method of claim 8 , further comprising determining that the at least one signal violates the channel plan.

10. The method of claim 1 , further comprising learning an RF environment, scrubbing the RF measurements against knowledge learned from the RF environment, and identifying the at least one signal as a previously detected signal.

11. The method of claim 1 , wherein the at least one signal is a narrow band signal, and further comprising identifying the at least one signal as an anomaly based on learning data from an RF environment.

12. A method for spectrum analysis, comprising:

receiving radiofrequency (RF) measurements corresponding to at least one signal from a 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 and determine a signal parameter of the at least one signal;

comparing the signal parameter of the at least one signal to signal characteristic listing data in a static database to determine whether the signal parameter of the at least one signal matches corresponding signal parameters in the signal characteristic listing data;

determining environment parameters, wherein the environment parameters are based on a delta correction factor table stored in the static database and a provided precipitation rate;

identifying the at least one signal based upon whether the signal parameter of the at least one signal matches any signal parameters in the signal characteristic listing data in the static database including hardware parameters, environment parameters, and terrain data;

determining if the 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;

determining a geographic location of the at least one signal by synthesizing an aperture between any two monitoring units of a monitoring array based on a difference of time of arrival;

determining that the at least one signal violates a channel plan; and

generating degradation data associated with the at least one signal and at least one signal optimization parameter indicating at least one step to optimize the at least one signal.

13. The method of claim 12 , further comprising determining a spectral density, a center frequency, a bandwidth, a baud rate, a modulation type, a protocol, and a carrier using licensed spectrum of the at least one signal using information stored in the static database.

14. The method of claim 12 , wherein identifying the at least one signal includes calculating a threshold bar to identify signals instead of noise.

15. The method of claim 12 , further comprising detecting a group of bins in the at least one signal fall outside a normal statistical range and providing an anomaly report based on the detection.

Assignments (3)

Continuity (26)