Systems, methods, and devices for electronic spectrum management
First Claim
Patent Images
1. A method for automatic signal detection in a radio-frequency (RF) environment, comprising:
- 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;
indexing the power level measurements for each frequency interval in a spectrum section in the learning period;
forming a knowledge map based on the power level measurements of the RF environment;
creating a channel plan based on the knowledge map, user input, and/or external databases;
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; and
determining that one or more of the at least one signal violates the channel plan.
2 Assignments
0 Petitions
Accused Products
Abstract
Devices and methods enable optimizing a signal of interest based on identifying and analyzing the signal of interest based on radio frequency energy 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. The signal of interest is optimized based on the signal degradation data. Terrain data may also be used for optimizing the signal of interest.
-
Citations
20 Claims
-
1. A method for automatic signal detection in a radio-frequency (RF) environment, comprising:
-
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; indexing the power level measurements for each frequency interval in a spectrum section in the learning period; forming a knowledge map based on the power level measurements of the RF environment; creating a channel plan based on the knowledge map, user input, and/or external databases; 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; and determining that one or more of the at least one signal violates the channel plan. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
-
11. 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 in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment; wherein the at least one apparatus is operable to index the power level measurements for each frequency interval in a spectrum section in the learning period; wherein the at least one apparatus is operable to form a knowledge map based on the power level measurements of the RF environment; wherein the at least one apparatus is operable to create a channel plan based on the knowledge map, user input, and/or external databases; wherein the at least one apparatus is operable to scrub a real-time spectral sweep against the knowledge map; 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 perform a squaring function on the most prominent derivatives; wherein the at least one apparatus is operable to detect at least one signal in the RF environment based on 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 subtract the baseline from the real-time spectral sweep to reveal the at least one signal; and wherein the at least one apparatus is operable to determine that one or more of the at least one signal violates the channel plan. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
-
Specification