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US 10,257,727 B2Granted
Systems methods, and devices having databases and automated reports for electronic spectrum management
AssigneeDGS Global Systems, Inc.
InventorsRonald C. Dzierwa, Daniel Carbajal
Life of this patent
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Abstract
Systems and methods are disclosed for providing at least one report relating to a wireless communications spectrum. At least one device is operable for wideband scan; to detect and measure at least one signal transmitted from at least one signal emitting device autonomously, thereby creating signal data; to analyze the signal data in near real-time, thereby creating analyzed data; generate the at least one report in near real-time; and to communicate at least a portion of the at least one report over a network to at least one remote device.
Claims20
A system for providing at least one report relating to a radio-frequency (RF) environment comprising:
- at least one device operable for detecting signals in the RF environment;
- wherein the at least one device is operable to sweep and learn the RF environment in a predetermined period of time based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment;
- wherein the at least one device is operable to index the power level measurements for each frequency interval in a spectrum section in the predetermined period of time;
- wherein the at least one device is operable to form a knowledge map based on the power level measurements of the RF environment;
- wherein the at least one device is operable to automatically extract at least one temporal feature of the RF environment from the knowledge map;
- wherein the at least one device is operable to scrub a real-time spectral sweep against the knowledge map;
- wherein the at least one 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 device is operable to select most prominent derivatives of the first derivative and the second derivative;
- wherein the at least one device is operable to perform a squaring function on the most prominent derivatives;
- wherein the at least one device is operable to detect at least one signal in the RF environment based on matched positive and negative gradients, thereby creating signal data;
- wherein the at least one device 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 device is operable to subtract the baseline from the real-time spectral sweep to reveal the at least one signal;
- wherein the at least one device is operable to analyze the signal data, thereby creating analyzed data;
- wherein the at least one device is operable to communicate the signal data, the analyzed data, and/or the learning data to at least one remote device;
- and
- wherein the at least one device and/or the at least one remote device is operable to generate at least one report based on the signal data, the analyzed data, and/or the learning data.
13 more elements
A method for providing at least one report relating to a radio-frequency (RF) environment comprising:
- learning the RF environment in a predetermined period of time based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment;
- indexing the power level measurements for each frequency interval in a spectrum section in the predetermined period of time;
- forming a knowledge map of the RF environment based on the power level measurements of the RF environment;
- automatically extracting at least one temporal feature of the RF environment from the knowledge map;
- scrubbing a real-time spectral sweep against the knowledge map;
- 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;
- performing a squaring function on the most prominent derivatives;
- detecting at least one signal in the RF environment based on 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;
- subtracting the baseline from the real-time spectral sweep to reveal the at least one signal, thereby creating signal data;
- analyzing the signal data, thereby creating analyzed data;
- generating at least one report based on the signal data, the analyzed data, and/or the learning data.
10 more elements
Dependencies are inferred from the claim text.