Energy efficient communications
US-2016219506-A1 · Jul 28, 2016 · US
US11595149B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11595149-B2 |
| Application number | US-202117340712-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 7, 2021 |
| Priority date | Oct 11, 2017 |
| Publication date | Feb 28, 2023 |
| Grant date | Feb 28, 2023 |
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A computer-implementable method employs radio signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one radio communication protocol. The inferred function is used to map metadata of a detected radio signal to a cognitive profile of a transmitter of the detected radio signal. The mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected radio signal. A response to the transmitter is based upon the mapping.
Opening claim text (preview).
The invention claimed is: 1. A computer-implementable method, comprising: employing radio signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one radio communication protocol; employing the inferred function for mapping metadata of a detected radio signal to a cognitive profile of a transmitter of the detected radio signal, wherein the mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected radio signal; and determining a response to the transmitter based upon the mapping. 2. The computer-implementable method recited in claim 1 , wherein employing the radio signal metadata to train the cognitive learning and inference system comprises performing at least one of supervised learning and unsupervised learning. 3. The computer-implementable method recited in claim 1 , wherein the syntactic structure comprises a structure of at least one of phrases, clauses, sentences, paragraphs, and conversation formats of the at least one radio communication protocol; and at least one of employing radio signal metadata to train and mapping comprises performing semantic analysis of the metadata. 4. The computer-implementable method recited in claim 1 , wherein employing the inferred function for mapping metadata comprises employing at least one of grammar rules and grammar shapes corresponding to the at least one radio communication protocol to identify a type of data in the detected radio signal. 5. The computer-implementable method recited in claim 1 , further comprising determining content of the detected radio signal from its metadata. 6. The computer-implementable method recited in claim 1 , wherein the mapping further employs at least one of a measured radar cross section; a camera image; an acoustical signature; an infrared signature; an optical signature; navigation data; video data; network management data; and a radio signal measurement comprising at least one of frequency shift, phase offset, delay, angle of arrival, signal strength, change in frequency shift, change in phase offset, change in delay, change in angle of arrival, change in signal strength. 7. The computer-implementable method recited in claim 1 , further comprising associating received radio signals with the transmitter by comparing the metadata of the detected radio signal with location information of at least one of the transmitter and the transmitter's intended receiver. 8. The computer-implementable method recited in claim 1 , wherein determining the response comprises selecting at least one of a kinetic countermeasure, a radio jamming countermeasure, and a protocol manipulation electronic countermeasure to be used against at least one of the transmitter and the transmitter's intended receiver. 9. A radio transceiver comprising at least one processor, memory in electronic communication with the processor, and instructions stored in the memory, the instructions executable by the at least one processor for: employing radio signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one radio communication protocol; employing the inferred function for mapping metadata of a detected radio signal to a cognitive profile of a transmitter of the detected radio signal, wherein the mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected radio signal; and determining a response to the transmitter based upon the mapping. 10. The radio transceiver recited in claim 9 , wherein employing the radio signal metadata to train the cognitive learning and inference system comprises performing at least one of supervised learning and unsupervised learning. 11. The radio transceiver recited in claim 9 , wherein the syntactic structure comprises a structure of at least one of phrases, clauses, sentences, paragraphs, and conversation formats of the at least one radio communication protocol; and at least one of employing radio signal metadata to train and mapping comprises performing semantic analysis of the metadata. 12. The radio transceiver recited in claim 9 , wherein employing the inferred function for mapping metadata comprises employing at least one of grammar rules and grammar shapes corresponding to the at least one radio communication protocol to identify a type of data in the detected radio signal. 13. The radio transceiver recited in claim 9 , wherein the memory further comprises instructions executable by the at least one processor for determining content of the detected radio signal from its metadata. 14. The radio transceiver recited in claim 9 , wherein the mapping further employs at least one of a measured radar cross section; a camera image; an acoustical signature; an infrared signature; an optical signature; navigation data; video data; network management data; and a radio signal measurement comprising at least one of frequency shift, phase offset, delay, angle of arrival, signal strength, change in frequency shift, change in phase offset, change in delay, change in angle of arrival, change in signal strength. 15. The radio transceiver recited in claim 9 , wherein the memory further comprises instructions executable by the at least one processor for associating received radio signals with the transmitter by comparing the metadata of the detected radio signal with location information of at least one of the transmitter and the transmitter's intended receiver. 16. The radio transceiver recited in claim 9 , wherein determining the response comprises selecting at least one of a kinetic countermeasure, a radio jamming countermeasure, and a protocol manipulation electronic countermeasure to be used against at least one of the transmitter and the transmitter's intended receiver. 17. A computer program product, comprising a non-transitory computer-readable memory having computer readable program code stored therein, said computer readable program code containing instructions executable by at least one processor of a computer system for: employing radio signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one radio communication protocol; employing the inferred function for mapping metadata of a detected radio signal to a cognitive profile of a transmitter of the detected radio signal, wherein the mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected radio signal; and determining a response to the transmitter based upon the mapping. 18. The computer program product recited in claim 17 , wherein employing the radio signal metadata to train the cognitive learning and inference system comprises performing at least one of supervised learning and unsupervised learning. 19. The computer program product recited in claim 17 , wherein the syntactic structure comprises a structure of at least one of phrases, clauses, sentences, paragraphs, and conversation formats of the at least one radio communication protocol; and a
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