Back to results
US 12,689,923 B2Granted
Systems, methods, and devices for electronic spectrum management
AssigneeDigital Global Systems, Inc.
InventorsRonald 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. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters.
Claims20
A method for automatic signal detection in a radio-frequency (RF) environment, comprising:
- learning the RF environment, including power level measurements of one or more frequency bins within the RF environment;
- forming a knowledge map of the RF environment based on the power level measurements;
- scrubbing a real-time spectral sweep against the knowledge map to create an alert for a spike in power and/or bandwidth for the one or more frequency bins;
- smoothing the real-time spectral sweep with a correction vector;
- applying a gradient detection algorithm to the smoothed real-time spectral sweep to create matched positive and negative gradients;
- detecting at least one signal in the RF environment based on the matched positive and negative gradients;
- averaging the real-time spectral sweep, removing areas identified by the matched positive and negative gradients, and connecting points between removed areas to determine a baseline;
- calculating and storing signal degradation data for the at least one signal based at least in part on noise figure parameters, hardware parameters, and environmental parameters;
- and
- creating a reconstructed signal using compressed data for deltas and the baseline;
- wherein the detecting the at least one signal in the RF environment comprises automatically fine-tuning a threshold of power level on a segmented basis while extracting at least one temporal feature from the knowledge map;
- wherein determining the baseline is based on averaging past power level measurements and subtracting at least one signal of interest based on the matched positive and negative gradients;
- wherein a pre-recognition delay parameter sets a minimum number of consecutive scans of the RF environment to determine if the at least one signal is a signal of interest;
- wherein the hardware parameters comprise antenna position, antenna type, and/or orientation;
- and
- wherein the threshold of power level is fine-tuned based on the hardware parameters and stored terrain data.
13 more elements
A system for automatic signal detection in a radio-frequency (RF) environment, comprising:
- at least one apparatus for detecting signals in the RF environment;
- wherein the at least one apparatus is operable to sweep and learn the RF environment, including power level measurements of one or more frequency bins within the RF environment;
- wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements;
- wherein the at least one apparatus is operable to scrub a real-time spectral sweep against the knowledge map to create an alert for a spike in power and/or bandwidth for the one or more frequency bins;
- wherein the at least one apparatus is operable to smooth the real-time spectral sweep with a correction vector;
- wherein the at least one apparatus is operable to apply a gradient detection algorithm to the smoothed real-time spectral sweep to create matched positive and negative gradients;
- wherein the at least one apparatus is operable to detect at least one signal in the RF environment based on the matched positive and negative gradients;
- wherein the at least one apparatus is operable to average the real-time 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 apparatus is operable to create a reconstructed signal using compressed data for deltas and the baseline;
- wherein the at least one apparatus is operable to automatically fine-tune a threshold of power level on a segmented basis;
- wherein determining the baseline is based on averaging past power level measurements and subtracting at least one signal of interest based on the matched positive and negative gradients;
- wherein a pre-recognition delay parameter sets a minimum number of consecutive scans of the RF environment to determine if the at least one signal is a signal of interest;
- wherein the at least one apparatus is operable to calculate 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 hardware parameters comprise antenna position, antenna type, and/or orientation;
- and
- wherein the threshold of power level is fine-tuned based on the hardware parameters and stored terrain data.
13 more elements
A system for automatic signal detection in a radio-frequency (RF) environment, comprising:
- at least one apparatus for detecting signals in the RF environment;
- and
- wherein the at least one apparatus is operable to sweep and learn the RF environment, thereby creating learning data including power level measurements of one or more frequency bins within the RF environment;
- wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements of the one or more frequency bins within the RF environment;
- wherein the at least one apparatus is operable to scrub a real-time spectral sweep against the knowledge map to create an alert for a spike in power and/or bandwidth for the one or more frequency bins;
- wherein the at least one apparatus is operable to smooth the real-time spectral sweep with a correction vector;
- wherein the at least one apparatus is operable to apply a gradient detection algorithm to the smoothed real-time spectral sweep to create matched positive and negative gradients;
- wherein the at least one apparatus is operable to detect at least one signal in the RF environment based on the matched positive and negative gradients;
- wherein the at least one apparatus is operable to average the real-time 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 apparatus is operable to create a reconstructed signal using compressed data for deltas and the baseline;
- wherein the at least one apparatus is operable to automatically fine-tune a threshold of power level on a segmented basis while extracting at least one temporal feature from the knowledge map;
- wherein determining the baseline is based on averaging past power level measurements and subtracting at least one signal of interest based on the matched positive and negative gradients;
- wherein a pre-recognition delay parameter sets a minimum number of consecutive scans of the RF environment to determine if the at least one signal is a signal of interest;
- wherein the at least one apparatus is operable to tune an automatic signal detection (ASD) sensitivity with a temporal feature extraction (TFE) system;
- wherein the TFE system uses an aggregation of signal data over time;
- wherein the at least one apparatus is operable to calculate signal degradation data for the at least one signal based at least in part on noise figure parameters and hardware parameters;
- wherein the hardware parameters comprise antenna position, antenna type, orientation, and effective isotropic radiated power (EIRP);
- and
- wherein the threshold of power level is fine-tuned based on the hardware parameters and stored terrain data.
16 more elements
Dependencies are inferred from the claim text.