Systems, methods, and devices for electronic spectrum management for identifying open space
AssigneeDigital Global Systems, Inc.
InventorDaniel Carbajal
Life of this patent
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Abstract
Systems, methods, and apparatus are provided for automated identification of open space in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the open space based upon the measured and analyzed data in near real-time.
Claims20
An apparatus for identifying open space in an electromagnetic spectrum comprising:
- at least one processor and at least one memory;
- wherein the apparatus is operable to receive signal data measured by a sensor over a network;
- wherein the signal data includes:
- energy measurements of the signals and a time associated with the energy measurements;
- at least one parameter of the signals, the at least one parameter including a modulation type, protocol data, a protocol type, a payload scheme, a symbol rate, symbol timing data, a frequency, a frequency repetition interval, a data type, a bandwidth, a source system, a source location, a time of arrival measurement, a frequency peak, a power, a peak power, an average power, and/or a duration;
- and/or
- changes for the signals, the changes including at least one of a combination of amplitude changes and frequency changes that are averaged over bandwidth and time to compute the modulation type, frequency offset changes, orthogonal frequency division modulation changes, and/or time change;
- and
- wherein the apparatus is operable to analyze the signal data to identify the open space in the electromagnetic spectrum.
An apparatus for identifying open space in an electromagnetic spectrum comprising:
- at least one processor;
- at least one memory;
- and
- at least one sensor for measuring signal data;
- wherein the signal data includes:
- energy measurements of the signals and a time associated with the energy measurements;
- at least one parameter of the signals, the at least one parameter including a modulation type, protocol data, a protocol type, a payload scheme, a symbol rate, symbol timing data, a frequency, a frequency repetition interval, a data type, a bandwidth, a source system, a source location, a time of arrival measurement, a frequency peak, a power, a peak power, an average power, and/or a duration;
- and/or
- changes for the signals, the changes including at least one of a combination of amplitude changes and frequency changes that are averaged over bandwidth and time to compute the modulation type, frequency offset changes, orthogonal frequency division modulation changes, and/or time changes;
- and
- wherein the apparatus is operable to analyze the signal data to identify the open space in the electromagnetic spectrum.
A method for identifying open space in an electromagnetic spectrum comprising:
- at least one apparatus including a processor and a memory receiving signal data from at least one remote sensor over a network or the at least one apparatus creating the signal data using at least one integrated sensor;
- and
- the at least one apparatus analyzing the signal data to identify the open space;
- wherein the signal data includes:
- energy measurements of the signals and a time associated with the energy measurements;
- at least one parameter of the signals, the at least one parameter including a modulation type, protocol data, a protocol type, a payload scheme, a symbol rate, symbol timing data, a frequency, a frequency repetition interval, a data type, a bandwidth, a source system, a source location, a time of arrival measurement, a frequency peak, a power, a peak power, an average power, and/or a duration;
- and/or
- changes for the signals, the changes including at least one of a combination of amplitude changes and frequency changes that are averaged over bandwidth and time to compute the modulation type, frequency offset changes, orthogonal frequency division modulation changes, and/or time changes.
Dependencies are inferred from the claim text.