Systems methods, and devices having databases and automated reports for electronic spectrum management
First Claim
Patent Images
1. 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.
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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.
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Citations
20 Claims
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1. A system for providing at least one report relating to a radio-frequency (RF) environment comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for providing at least one report relating to a radio-frequency (RF) environment comprising:
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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. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification