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US Patent 11233561 Learning-based space communications systems

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11233561
Date of Patent
January 25, 2022
Patent Application Number
16994741
Date Filed
August 17, 2020
Patent Citations
‌
US Patent 10217047 Learning and deployment of adaptive wireless communications
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US Patent 10200875 Placement and scheduling of radio signal processing dataflow operations
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US Patent 10305553 Encoding and decoding of information for wireless transmission using multi-antenna transceivers
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US Patent 10009152 System and method for rate-less multiple access
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US Patent 10128968 Satellite downlink signal performance monitoring at identified antennas
Patent Citations Received
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US Patent 11940889 Combined TDECQ measurement and transmitter tuning using machine learning
0
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US Patent 11907090 Machine learning for taps to accelerate TDECQ and other measurements
0
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US Patent 11923896 Optical transceiver tuning using machine learning
0
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US Patent 11923895 Optical transmitter tuning using machine learning and reference parameters
0
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US Patent 11405243 Method and apparatus for signal processing with neural networks
Patent Primary Examiner
‌
Hai V Nguyen
Patent abstract

Methods and systems including computer programs encoded on computer storage media, for training and deploying machine-learned communication over RF channels. One of the methods includes: determining first information; generating a first RF signal by processing the first information using an encoder machine-learning network of the first transceiver; transmitting the first RF signal from the first transceiver to a communications satellite or ground station through a first communication channel; receiving, from the communications satellite or ground station through a second communication channel, a second RF signal at a second transceiver; generating second information as a reconstruction of the first information by processing the second RF signal using a decoder machine-learning network of the second transceiver; calculating a measure of distance between the second information and the first information; and updating at least one of the encoder machine-learning network of the first transceiver or the decoder machine-learning network of the second transceiver.

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