Granted Patent B2

US 11,974,149 · App. 17/674,458 · Granted Apr 30, 2024

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

Assignee: DIGITAL GLOBAL SYSTEMS, INC.

H04W24/08H04B17/23H04B17/26H04B17/27H04B17/309H04B17/318H04W4/029H04W16/14H04W24/10H04W64/006H04B17/3911

Abstract

Claims (69)

1. A system for providing analytics relating to a wireless communications spectrum, the system comprising:

at least one server, wherein the at least one server includes at least one processor; and

at least one apparatus, wherein the at least one apparatus is operable for communication with the at least one server;

wherein the at least one apparatus includes at least one processor, at least one memory, and at least one sensor configured for sensing and measuring signals in the wireless communications spectrum;

wherein the at least one apparatus is operable to sense and measure wireless communications signals, thereby creating signal data;

wherein the at least one apparatus is operable to use gradients from smoothed signal data to create a calibration vector;

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

wherein the at least one apparatus is operable to transmit the signal data to the at least one server;

wherein the at least one server is operable to analyze the signal data and calculate signal degradation data for identifying at least one signal emitting device using hardware parameters, environment parameters, and noise figure parameters;

wherein the at least one processor is operable to use signal degradation data and measured terrain data to perform pattern distortion, generate propagation and/or neighbor interference models, determine interference variables, and/or perform best fit modeling;

wherein the environment parameters include precipitation, fog, and/or haze; and

wherein the noise figure parameters are determined based on data associated with at least one signal.

2. The system of claim 1 , wherein the at least one apparatus does not require a connection to the at least one server to be operable for identifying the at least one signal emitting device.

3. The system of claim 1 , wherein the system includes a multiplicity of the at least one apparatus distributed across a region for sensing and measuring the wireless communications signals in the region.

4. The system of claim 1 , wherein the at least one apparatus and/or the at least one server is operable to identify open space, wherein the open space includes at least one frequency, and wherein the identification of the open space:

is based upon predetermined frequencies;

is based upon measured frequency, bandwidth, and duration;

is visually indicated, in whole or in part, by the at least one apparatus; and/or

is accurate to a predetermined degree of confidence.

5. The system of claim 1 , wherein the at least one apparatus is operable for automatically generating reports of the analytics, wherein the reports include a power usage report, a radiofrequency survey report, a signal optimization report, a plot report of power and bandwidth activity, a variance report of variations in the signal data, and/or an anomaly report.

6. The system of claim 1 , wherein the at least one apparatus is operable for automatically scanning the wireless communications spectrum, wherein a default scan includes a plurality of frequency scans between 54 MHz and 5.8 GHz and/or a frequency scan in an inputted frequency range.

7. The system of claim 1 , further including a database, wherein the database includes stored signal data, and wherein the stored signal data includes:

in-phase and quadrature (I/Q) data of received signals;

energy measurements of the wireless communications signals and a time associated with the energy measurements;

at least one parameter of the wireless communications signals, the at least one parameter including at least one of modulation type, protocol type, payload scheme, data type, symbol information, frequency information, bandwidth, source information, power information, time of arrival measurement, and timing information;

a characteristic listing for at least one signal group, the characteristic listing including at least one of protocol data, environment data, and noise data;

changes for the wireless communications signals, the changes including at least one of a combination of amplitude changes and frequency changes that are averaged over bandwidth and time to compute modulation type, frequency changes, time changes, and/or I/Q phase rotation changes;

information used to determine spectral density, center frequency, bandwidth, baud rate, modulation type, protocol, system or carrier, signal source information, and timestamp corresponding to the wireless communications signals; and/or

indications of signal activity, power, bandwidth, frequency, duration, time, and/or combinations thereof relating to open space.

8. The system of claim 1 , wherein the data associated with the at least one signal is in a static database.

9. The system of claim 1 , further comprising a data extraction module, where the data extraction module is configured to provide a classification of the at least one signal, a categorization for the at least one signal, a modulation type of the at least one signal, and a bandwidth of the at least one signal.

10. The system of claim 1 , further comprising a spectrum management module, wherein the spectrum management module is configured to generate a query to a database to classify the at least one signal, wherein the classification of the at least one signal includes determining a spectral density, a center frequency, a bandwidth, a baud rate, a modulation type, a protocol, a carrier using licensed spectrum, a location of a source, and/or a timestamp of the at least one signal.

11. A system for providing analytics relating to a wireless communications spectrum, the system comprising:

at least one server, wherein the at least one server includes at least one processor; and

at least one apparatus, wherein the at least one apparatus is operable for network-based communication with the at least one server;

wherein the at least one apparatus includes a housing, at least one processor, at least one memory, and at least one sensor configured for sensing and measuring signals in the wireless communications spectrum;

wherein the at least one apparatus is operable to sense and measure wireless communications signals, thereby creating signal data;

wherein the at least one apparatus is operable to use gradients from smoothed signal data to create a calibration vector;

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

wherein the at least one apparatus is operable to transmit the signal data to the at least one server;

wherein the at least one server is operable to analyze the signal data and calculate signal degradation data for identifying at least one signal emitting device using hardware parameters, environment parameters, and noise figure parameters;

wherein the at least one processor is operable to use signal degradation data and measured terrain data to perform pattern distortion, generate propagation and/or neighbor interference models, determine interference variables, and/or perform best fit modeling; and

wherein the noise figure parameters are determined based on data associated with at least one signal.

12. A method for providing analytics relating to a wireless communications spectrum, the method comprising:

providing at least one server, wherein the at least one server includes at least one processor;

providing at least one apparatus, wherein the at least one apparatus includes at least one processor, at least one memory, and at least one sensor configured for sensing and measuring signals in the wireless communications spectrum, wherein the at least one apparatus is in communication with the at least one server;

the at least one apparatus sensing and measuring wireless communications signals, thereby creating signal data;

the at least one apparatus using gradients from smoothed signal data to create a calibration vector;

the at least one apparatus using the calibration vector to de-bias raw signal data;

the at least one apparatus transmitting the signal data to the at least one server;

the at least one server analyzing the signal data and calculating signal degradation data for identifying at least one signal emitting device using hardware parameters, environment parameters, and noise figure parameters;

the at least one processor using signal degradation data and measured terrain data to perform pattern distortion, generate propagation and/or neighbor interference models, determine interference variables, and/or perform best fit modeling; and

wherein the noise figure parameters are determined based on data associated with at least one signal.

13. The method of claim 12 , wherein the at least one apparatus does not require a connection to the at least one server to identify the at least one signal emitting device.

14. The method of claim 12 , wherein the at least one apparatus is operable for communication with at least one other apparatus for identifying the at least one signal emitting device.

15. The method of claim 12 , wherein the system at least one apparatus includes a multiplicity of apparatuses distributed across a region for sensing and measuring the wireless communications signals in the region.

16. The method of claim 12 , further comprising the at least one apparatus automatically scanning the wireless communications spectrum, wherein a default scan includes a plurality of frequency scans between 54 MHz and 5.8 GHz and/or a frequency scan in an inputted frequency range.

17. The method of claim 12 , further comprising automatically generating reports of the analytics, wherein the reports include a power usage report, a radiofrequency survey report, a signal optimization report, a plot report of power and bandwidth activity, a variance report of variations in the signal data, and/or an anomaly report.

18. The method of claim 12 , further comprising the at least one apparatus sensing and measuring wireless communications signals in near-real time.

19. The method of claim 12 , wherein the signal data includes:

in-phase and quadrature (I/Q) data of the wireless communications signals;

energy measurements of the wireless communications signals and a time associated with the energy measurements;

at least one parameter of the wireless communications signals, the at least one parameter including at least one of modulation type, protocol type, payload scheme, data type, symbol information, frequency information, bandwidth, source information, power information, time of arrival measurement, and timing information; and/or

changes for the wireless communications signals, the changes including at least one of a combination of amplitude changes and frequency changes that are averaged over bandwidth and time to compute modulation type, frequency changes, time changes, and/or I/Q phase rotation changes.

20. The method of claim 12 , further including identifying open space, wherein the open space includes at least one frequency, and wherein the identification of the open space:

is based upon predetermined frequencies;

is based upon measured frequency, bandwidth, and duration;

is visually indicated, in whole or in part, by the at least one apparatus; and/or

is accurate to a predetermined degree of confidence.

Assignments (2)

Continuity (17)