Wireless signal monitoring and analysis, and related methods, systems, and devices
Wireless signal classifiers and systems that incorporate the same may include an energy-based detector configured to analyze an entire set of measurements and generate a first signal classification result, a cyclostationary-based detector configured to analyze less than the entire set of measurements and generate a second signal classification result; and a classification merger configured to merge the first signal classification result and the second signal classification result. Ensemble wireless signal classification and systems and devices the incorporate the same are disclosed. Some ensemble wireless signal classification may include energy-based classification processes and machine learning-based classification processes. In some embodiments, incremental machine learning techniques may be incorporated to add new machine learning-based classifiers to a system or update existing machine learning-based classifiers.
- Research Organization:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States); Univ. of Utah, Salt Lake City, UT (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC07-05ID14517
- Assignee:
- Battelle Energy Alliance, LLC (Idaho Falls, ID); University of Utah Research Foundation (Salt Lake City, UT)
- Patent Number(s):
- 11,251,889
- Application Number:
- 16/569,565
- OSTI ID:
- 1892625
- Country of Publication:
- United States
- Language:
- English
Hybrid cooperative spectrum sensing with cyclostationary detection for cognitive radio networks
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conference | December 2016 |
RFDump
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conference | January 2009 |
Dof
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journal | August 2011 |
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