Systems, methods, and devices having databases for electronic spectrum management
AssigneeDigital Global Systems, Inc.
InventorsDaniel Carbajal, Ronald C. Dzierwa
Life of this patent
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Abstract
Systems, methods, and apparatus are provided for automated identification of baseline data and changes in state in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the baseline data and changes in state based upon the measured and analyzed data in near real time, which is stored on each apparatus or device and/or on a remote server computer that aggregates data from each apparatus or device.
Claims20
A method for automatic signal detection in an electromagnetic environment, comprising:
- learning the electromagnetic environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the electromagnetic environment;
- forming a knowledge map of the electromagnetic environment based on the power level measurements of the electromagnetic environment;
- creating a profile of the electromagnetic environment based on the knowledge map, wherein the profile comprises a highest power level for each frequency detected during the learning period;
- scrubbing a spectral sweep against the profile;
- calculating a first derivative of the power level measurements and a second derivative of the power level measurements;
- selecting most prominent derivatives of the first derivative and the second derivative;
- smoothing the spectral sweep with a correction vector, wherein the correction vector is determined according to the spectral sweep;
- detecting at least one signal in the electromagnetic environment based on matched positive and negative gradients;
- averaging the spectral sweep, removing areas identified by the matched positive and negative gradients, and connecting points between removed areas to determine a baseline;
- and
- subtracting the baseline from the spectral sweep to reveal the at least one signal.
A system for automatic signal detection in an electromagnetic environment, comprising:
- at least one apparatus for detecting signals in the electromagnetic environment;
- wherein the at least one apparatus is operable to sweep and learn the electromagnetic environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the electromagnetic environment;
- wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements of the electromagnetic environment;
- wherein the at least one apparatus is operable to create a profile of the electromagnetic environment based on the knowledge map, wherein the profile comprises a highest power level for each frequency detected during the learning period;
- wherein the at least one apparatus is operable to scrub a spectral sweep against the profile;
- wherein the at least one apparatus 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 apparatus is operable to select most prominent derivatives of the first derivative and the second derivative;
- wherein the at least one 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 at least one apparatus is operable to detect at least one signal in the electromagnetic environment based on matched positive and negative gradients;
- wherein the at least one 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;
- and
- wherein the at least one apparatus is operable to subtract the baseline from the spectral sweep to reveal the at least one signal.
A system for automatic signal detection in an electromagnetic environment, comprising:
- at least one apparatus for detecting signals in the electromagnetic environment;
- and
- at least remote device;
- wherein the at least one apparatus is operable to sweep and learn the electromagnetic environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the electromagnetic environment;
- wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements of the electromagnetic environment;
- wherein the at least one apparatus is operable to create a profile of the electromagnetic environment based on the knowledge map, wherein the profile comprises a highest power level for each frequency detected during the learning period;
- wherein the at least one apparatus is operable to scrub a spectral sweep against the profile;
- wherein the at least one apparatus 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 apparatus is operable to select most prominent derivatives of the first derivative and the second derivative;
- wherein the at least one 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 at least one apparatus is operable to detect at least one signal in the electromagnetic environment based on matched positive and negative gradients;
- wherein the at least one 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 at least one apparatus is operable to subtract the baseline from the spectral sweep to reveal the at least one signal;
- and
- wherein the at least one apparatus is operable to send a notification and/or an alarm to the at least one remote device after detecting the at least one signal.
Dependencies are inferred from the claim text.