Back to results
US 12,003,990 B2Granted
Systems, methods, and devices for electronic spectrum management
AssigneeDigital Global Systems, Inc.
InventorsDavid William Kleinbeck, Ronald C. Dzierwa, Gabriel R. Garcia, Daniel Carbajal
Life of this patent
Estimating the term…
Abstract
Systems, methods, and devices enable spectrum management by identifying, classifying, and cataloging signals of interest based on radio frequency measurements. In an embodiment, signals and the parameters of the signals may be identified and indications of available frequencies may be presented to a user. In another embodiment, the protocols of signals may also be identified. In a further embodiment, the modulation of signals, data types carried by the signals, and estimated signal origins may be identified.
Claims20
A system for managing spectrum data for an electromagnetic environment, comprising:
- at least one node device;
- wherein the at least one node device comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine;
- wherein the at least one node device is operable to sweep and learn the electromagnetic environment, thereby creating learning data including power level measurements of the electromagnetic environment;
- wherein the at least one node device is operable to form a knowledge map based on the power level measurements of the electromagnetic environment;
- wherein the knowledge map comprises an array of normal distributions, wherein each normal distribution corresponds to how often a power level at each frequency has been at a particular level;
- wherein the at least one node device is operable to scrub a spectral sweep against the knowledge map;
- wherein the at least one node device 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 node device is operable to smooth the spectral sweep with a correction vector, wherein the correction vector is determined according to the spectral sweep;
- wherein the at least one node device is operable to detect at least one signal in the electromagnetic environment based on matched positive and negative gradients;
- wherein the at least one node device is operable to average the spectral sweep, 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 node device is operable to subtract the baseline from the spectral sweep to reveal the at least one signal, thereby creating signal data;
- wherein the at least one node device is operable to process the signal data, thereby generating processed data;
- wherein the at least one node device is operable to process the signal data using compressed data for deltas, thereby generating the processed data in near-real time;
- wherein the at least one node device is operable to calculate and store signal degradation data for the at least one signal based at least in part on noise figure parameters, hardware parameters, and environmental parameters;
- wherein the processed data includes In-Phase and Quadrature (I/Q) data;
- wherein the at least one node device is operable to determine a signal's modulation type and protocol using the I/Q data;
- wherein the I/Q data is equalized to remove multipath, fading, white noise, and/or interference from at least one other signaling system by a fast parallel adaptive filter;
- and
- wherein one or more of the at least one node device is mobile.
16 more elements
An apparatus for spectrum data management for an electromagnetic environment, comprising:
- at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine;
- wherein the apparatus is operable to sweep and learn the electromagnetic environment, thereby creating learning data including power level measurements of the electromagnetic environment;
- wherein the apparatus is operable to form a knowledge map based on the power level measurements of the electromagnetic environment;
- wherein the knowledge map comprises an array of normal distributions, wherein each normal distribution corresponds to how often a power level at each frequency has been at a particular level;
- wherein the apparatus is operable to scrub a spectral sweep against the knowledge map;
- wherein the apparatus is operable to calculate a first derivative of the power level measurements and a second derivative of the power level measurements;
- wherein the apparatus is operable to smooth the spectral sweep with a correction vector, wherein the correction vector is determined according to the spectral sweep;
- wherein the apparatus is operable to detect at least one signal in the electromagnetic environment based on matched positive and negative gradients;
- wherein the apparatus is operable to average the spectral sweep, remove areas identified by the matched positive and negative gradients, and connect points between removed areas to determine a baseline;
- wherein the apparatus is operable to subtract the baseline from the spectral sweep to reveal the at least one signal, thereby creating signal data;
- wherein the apparatus is operable to process the signal data, thereby generating processed data;
- wherein the apparatus is operable to process the signal data using compressed data for deltas, thereby generating the processed data in near-real time;
- wherein the apparatus is operable to calculate and store signal degradation data for the at least one signal based at least in part on noise figure parameters, hardware parameters, and environmental parameters;
- wherein the processed data includes In-Phase and Quadrature (I/Q) data;
- wherein the apparatus is operable to generate a fast convolution periodogram using the I/Q data;
- wherein the apparatus is operable to use the fast convolution periodogram to compute spectral density;
- wherein the I/Q data is equalized to remove multipath, fading, white noise, and/or interference from at least one other signaling system by a fast parallel adaptive filter;
- and
- wherein the apparatus is mobile.
16 more elements
An apparatus for spectrum data management for an electromagnetic environment, comprising:
- at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine;
- wherein the apparatus is at an edge of a communication network;
- wherein the apparatus is mobile;
- wherein the apparatus is operable to sweep and learn the electromagnetic environment based on statistical learning techniques, thereby creating learning data including power level measurements of the electromagnetic environment;
- wherein the apparatus is operable to form a knowledge map based on the power level measurements of the electromagnetic environment;
- wherein the knowledge map comprises an array of normal distributions, wherein each normal distribution corresponds to how often a power level at each frequency has been at a particular level;
- wherein the apparatus is operable to scrub a spectral sweep against the knowledge map;
- wherein the apparatus is operable to calculate a first derivative of the power level measurements and a second derivative of the power level measurements;
- wherein the apparatus is operable to smooth the spectral sweep with a correction vector, wherein the correction vector is determined according to the spectral sweep;
- wherein the apparatus is operable to detect at least one signal in the electromagnetic environment based on matched positive and negative gradients;
- wherein the apparatus is operable to average the spectral sweep, remove areas identified by the matched positive and negative gradients, and connect points between removed areas to determine a baseline;
- wherein the apparatus is operable to subtract the baseline from the spectral sweep to reveal the at least one signal, thereby creating signal data;
- wherein the apparatus is operable to process the signal data, thereby generating processed data;
- wherein the apparatus is operable to process the signal data using compressed data for deltas, thereby generating the processed data in near-real time;
- wherein the apparatus is operable to calculate and store signal degradation data for the at least one signal based at least in part on noise figure parameters, hardware parameters, and environmental parameters;
- wherein the processed data includes In-Phase and Quadrature (I/Q) data;
- wherein the apparatus is operable to determine a signal's modulation type and protocol using the I/Q data;
- wherein the apparatus is operable to generate a fast convolution periodogram using the I/Q data;
- wherein the apparatus is operable to use the fast convolution periodogram to compute spectral density;
- wherein the I/Q data is equalized to remove multipath, fading, white noise, and/or interference from at least one other signaling system by a fast parallel adaptive filter;
- and
- wherein the apparatus is operable to communicate at least one report for the electromagnetic environment to at least one remote device.
19 more elements
Dependencies are inferred from the claim text.