US-12621674-B2 - System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization

Abstract

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Inventors

• Armando Montalvo

Assignees

• DIGITAL GLOBAL SYSTEMS, INC.

Dates

Publication Date

20260505

Application Date

20250415

Claims (20)

1. 1 . A system for spectrum channelization in an electromagnetic environment comprising: at least one data analysis engine configured to analyze measured data based on the electromagnetic environment to create analyzed data; a learning engine operable to learn the electromagnetic environment and/or make predictions about the electromagnetic environment; and a survey occupancy application; wherein the learning engine is operable to learn information from a channelization engine operable to prepare and/or divide at least one spectrum into a plurality of spectrum bands; and wherein the survey occupancy application is operable to determine occupancy in the plurality of spectrum bands and to preprocess at least two signals that exist together in one spectrum band of the plurality of spectrum bands based on interference between the at least two signals.
2. 2 . The system of claim 1 , wherein the channelization engine includes a frequency domain programmable channelizer configured to classify the analyzed data.
3. 3 . The system of claim 1 , wherein the learning engine utilizes statistical learning techniques and/or control theory.
4. 4 . The system of claim 1 , wherein the channelization engine is operable to provide a comparison of at least one receiver channel, and wherein the comparison provides anomalous detection using a mask with frequency and power, and wherein the mask is comprised of an average of maximum power values based on a first derivative and a second derivative to identify and confirm the maximum power values.
5. 5 . The system of claim 1 , wherein the channelization engine includes channelization selector logic for a table lookup of filter coefficient and channelization vectors.
6. 6 . The system of claim 5 , wherein data from the table lookup of filter coefficient and channelization vectors undergoes preprocessing with a mix circular rotator to produce a plurality of blocks of a plurality of points.
7. 7 . The system of claim 1 , further comprising a tip and cue server operable to use the analyzed data from the at least one data analysis engine to create actionable data.
8. 8 . The system of claim 7 , wherein the tip and cue server and the at least one data analysis engine are operable to run autonomously.
9. 9 . The system of claim 1 , further comprising a noise floor estimator operable to estimate a bin-wise noise model, estimate a bin-wise noise plus signal model, determine a bin-level probability of false alarm, a bin-level threshold, a channel-level probability of false alarm, a channel-level level threshold, calculate a detection vector, count a number of elements above the bin-level threshold, determine a probability of false alarm, determine a probability of missed detection, and/or determine an overall detection probability.
10. 10 . The system of claim 1 , further comprising a detection engine operable to estimate a number of channels, corresponding bandwidths for the number of channels, and/or center frequencies using an averaged power spectral density (PSD) of at least one signal of interest.
11. 11 . The system of claim 1 , further including a classification engine, wherein the classification engine is operable to generate a query to a static database to classify at least one signal of interest based on information from a frequency domain programmable channelizer.
12. 12 . The system of claim 1 , further including a blind detection engine and/or a blind classification engine.
13. 13 . The system of claim 1 , wherein the at least one data analysis engine includes a semantic engine and/or an optimization engine.
14. 14 . The system of claim 1 , wherein the channelization engine includes a time domain programmable channelizer configured to classify the analyzed data.
15. 15 . A system for spectrum channelization in an electromagnetic environment comprising: at least one data analysis engine configured to analyze measured data from the electromagnetic environment to create analyzed data; a channelization engine operable to prepare and/or divide at least one spectrum into a plurality of spectrum bands based on the analyzed data; a learning engine operable to learn the electromagnetic environment and/or make predictions about the electromagnetic environment based on the analyzed data; and a survey occupancy application operable to determine occupancy in the plurality of spectrum bands and to preprocess at least two signals that exist that exist together in one spectrum band of the plurality of spectrum bands based on interference between the at least two signals.
16. 16 . The system of claim 15 , wherein the channelization engine includes at least one fast Fourier transform (FFT) configuration operable to resolve ambiguities between at least two channels by employing a sufficient resolution bandwidth.
17. 17 . The system of claim 15 , wherein the learning engine utilizes statistical learning techniques and/or control theory.
18. 18 . A method for spectrum channelization in an electromagnetic environment comprising: analyzing measured data from the electromagnetic environment using at least one data analysis engine to create analyzed data; preparing and/or dividing at least one spectrum into a plurality of spectrum bands using a channelization engine based on the analyzed data; learning the electromagnetic environment and/or predicting the electromagnetic environment using a learning engine based on the analyzed data; and determining, via a survey occupancy application, occupancy in the plurality of spectrum bands and preprocessing at least two signals that exist together in one spectrum band of the plurality of spectrum bands based on interference between the at least two signals; wherein the at least one data analysis engine is in communication with the channelization engine; and wherein the learning engine is operable to learn information from the channelization engine.
19. 19 . The method of claim 18 , further comprising the learning engine utilizing statistical learning techniques and/or control theory.
20. 20 . The method of claim 18 , further comprising the channelization engine determining channel occupancy and/or channel noise for the plurality of spectrum bands.

Description

CROSS REFERENCES TO RELATED APPLICATIONS This application is related to and claims priority from the following U.S. patents and patent applications. This application is a continuation of U.S. patent application Ser. No. 18/911,892, filed Oct. 10, 2024, which is a continuation of U.S. patent application Ser. No. 18/756,489, filed Jun. 27, 2024, which is a continuation of U.S. patent application Ser. No. 18/409,340, filed Jan. 10, 2024, which is a continuation of U.S. patent application Ser. No. 18/524,945, filed Nov. 30, 2023, which is a continuation of U.S. patent application Ser. No. 18/218,379, filed Jul. 5, 2023, which is a continuation of U.S. patent application Ser. No. 18/085,874, filed Dec. 21, 2022, which is a continuation-in-part of U.S. patent application Ser. No. 17/992,490, filed Nov. 22, 2022, which is a continuation-in-part of U.S. patent application Ser. No. 17/985,570, filed Nov. 11, 2022, which is a continuation-in-part of U.S. patent application Ser. No. 17/691,683, filed Mar. 10, 2022, which is a continuation of U.S. patent application Ser. No. 17/470,253, filed Sep. 9, 2021, which is a continuation of U.S. application Ser. No. 17/085,635, filed Oct. 30, 2020, which claims the benefit of U.S. Provisional Application No. 63/018,929, filed May 1, 2020. Each of the above listed applications is incorporated herein by reference in its entirety. BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to spectrum analysis and management for electromagnetic signals, and more particularly for providing dynamic, prioritized spectrum utilization management. 2. Description of the Prior Art It is generally known in the prior art to provide wireless communications spectrum management for detecting devices and for managing the space. Spectrum management includes the process of regulating the use of radio frequencies to promote efficient use and gain net social benefit. A problem faced in effective spectrum management is the various numbers of devices emanating wireless signal propagations at different frequencies and across different technological standards. Coupled with the different regulations relating to spectrum usage around the globe effective spectrum management becomes difficult to obtain and at best can only be reached over a long period of time. Another problem facing effective spectrum management is the growing need from spectrum despite the finite amount of spectrum available. Wireless technologies and applications or services that require spectrum have exponentially grown in recent years. Consequently, available spectrum has become a valuable resource that must be efficiently utilized. Therefore, systems and methods are needed to effectively manage and optimize the available spectrum that is being used. Prior art patent documents include the following: U.S. Patent Publication No. 2018/0352441 for Devices, methods, and systems with dynamic spectrum sharing by inventors Zheng, et al., filed Jun. 4, 2018 and published Dec. 6, 2018, is directed to devices, methods, and systems with dynamic spectrum sharing. A wireless communication device includes a software-defined radio, a spectrum sensing sub-system, a memory, and an electronic processor. The software-defined radio is configured to generate an input signal, and wirelessly communicate with one or more radio nodes using a traffic data channel and a broadcast control channel. The spectrum sensing sub-system is configured to sense local spectrum information from the input signal. The electronic processor is communicatively connected to the memory and the spectrum sensing sub-system and is configured to receive the local spectrum information from the spectrum sensing sub-system, receive spectrum information from the one or more radio nodes, and allocate resources for the traffic data channel based on the local spectrum information and the spectrum information that is received from the one or more radio nodes. U.S. Patent Publication No. 2018/0295607 for Method and apparatus for adaptive bandwidth usage in a wireless communication network by inventors Lindoff, et al., filed Oct. 10, 2017 and published Oct. 11, 2018, is directed to reconfiguration of a receiver bandwidth of the wireless device is initiated to match the second scheduling bandwidth, wherein the second scheduling bandwidth is larger than a first scheduling bandwidth currently associated with the wireless device, and wherein the first and second scheduling bandwidths respectively define the bandwidth used for scheduling transmissions to the wireless device. U.S. Pat. No. 9,538,528 for Efficient co-existence method for dynamic spectrum sharing by inventors Wagner, et al., filed Oct. 6, 2011 and issued Jan. 3, 2017, is directed to an apparatus that defines a set of resources out of a first number of orthogonal radio resources and controls a transmitting means to simultaneously transmit a respective first radio signal for each resource on all resources of the s