Systems, methods, and devices having databases and automated reports for electronic spectrum management
AssigneeDigital Global Systems, Inc.
InventorsRonald C. Dzierwa, Daniel Carbajal
Life of this patent
Estimating the term…
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
An apparatus for automatic signal detection in an electromagnetic environment, comprising:
- at least one receiver, at least one processor, and at least one memory;
- wherein the apparatus is operable to create power level measurements of the electromagnetic environment;
- wherein the apparatus is operable to determine a baseline;
- wherein the apparatus is operable to automatically detect at least one signal based on the baseline;
- wherein the apparatus is operable to create impressions of the electromagnetic environment based on a machine learning algorithm;
- wherein the apparatus is operable to process signal data associated with the at least one signal using compressed data for deltas;
- wherein the apparatus is operable to reconstruct the at least one signal using the deltas and the baseline;
- and
- wherein the apparatus is operable to fill gaps during reconstruction of the at least one signal where the signal data is absent.
A method for automatic signal detection in an electromagnetic environment, comprising:
- creating 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;
- determining a baseline;
- subtracting the baseline from a spectral sweep to automatically detect at least one signal;
- calculating a first derivative of the power level measurements and a second derivative of the power level measurements;
- selecting a most prominent derivative of the first derivative and the second derivative;
- performing a squaring function on the most prominent derivative;
- creating impressions of the electromagnetic environment based on a machine learning algorithm;
- reconstructing the at least one signal using deltas and the baseline;
- and
- filling gaps during reconstruction of the at least one signal where data of the at least one signal is absent.
A method for automatic signal detection in an electromagnetic environment, comprising:
- scrubbing a spectral sweep against a knowledge map of the electromagnetic environment;
- smoothing the spectral sweep with a correction vector;
- detecting at least one signal in the electromagnetic environment;
- determining a baseline;
- subtracting the baseline from the spectral sweep to automatically identify the at least one signal;
- using a calibration vector to de-bias raw signal data of the at least one signal;
- calculating a first derivative of the power level measurements and a second derivative of the power level measurements;
- creating impressions of the RF environment based on a machine learning algorithm;
- processing signal data using compressed data for deltas;
- reconstructing the at least one signal using the deltas and the baseline;
- and
- filling gaps during reconstruction of the at least one signal where the signal data is absent.
Dependencies are inferred from the claim text.