Systems, methods, and devices having databases and automated reports for electronic spectrum management
First Claim
1. An apparatus for spectrum data management for a radio frequency (RF) 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 operable to sweep and learn the RF environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment;
wherein the apparatus is operable to form a knowledge map based on the power level measurements of the RF environment;
wherein the apparatus is operable to scrub a real-time 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 select most prominent derivatives of the first derivative and the second derivative;
wherein the apparatus is operable to detect at least one signal in the RF environment based on matched positive and negative gradients;
wherein the 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 apparatus is operable to subtract the baseline from the real-time 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 ASD module is configured to extract meta data and detect at least one anomaly based on the processed data;
wherein the learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data; and
wherein the apparatus is operable to generate at least one report for the RF environment.
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Accused Products
Abstract
Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.
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Citations
20 Claims
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1. An apparatus for spectrum data management for a radio frequency (RF) environment, comprising:
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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 operable to sweep and learn the RF environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment; wherein the apparatus is operable to form a knowledge map based on the power level measurements of the RF environment; wherein the apparatus is operable to scrub a real-time 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 select most prominent derivatives of the first derivative and the second derivative; wherein the apparatus is operable to detect at least one signal in the RF environment based on matched positive and negative gradients; wherein the 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 apparatus is operable to subtract the baseline from the real-time 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 ASD module is configured to extract meta data and detect at least one anomaly based on the processed data; wherein the learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data; and wherein the apparatus is operable to generate at least one report for the RF environment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of spectrum data management for a radio-frequency (RF) environment, comprising:
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providing a node device at an edge of a communication network, wherein the node device comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine; the node device learning the RF environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment; the node device forming a knowledge map of the RF environment based on the power level measurements of the RF environment; the node device scrubbing a real-time spectral sweep against the knowledge map; the node device calculating a first derivative of the power level measurements and a second derivative of the power level measurements; the node device selecting most prominent derivatives of the first derivative and the second derivative; the node device performing a squaring function on the most prominent derivatives; the node device detecting at least one signal in the RF environment based on matched positive and negative gradients; the node device 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; the node device subtracting the baseline from the real-time spectral sweep to reveal the at least one signal, thereby creating signal data; the node device processing the signal data, thereby creating processed data; the node device detecting and identifying at least one anomaly based on the processed data; and the node device generating at least one report for the RF environment. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification