Invention Grant
- Patent Title: Machine learning-based nonlinear pre-distortion system
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Application No.: US15955485Application Date: 2018-04-17
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Publication No.: US10581469B1Publication Date: 2020-03-03
- Inventor: Timothy James O'Shea , James Shea
- Applicant: DeepSig Inc.
- Applicant Address: US VA Arlington
- Assignee: DeepSig Inc.
- Current Assignee: DeepSig Inc.
- Current Assignee Address: US VA Arlington
- Agency: Fish & Richardson P.C.
- Main IPC: H04B1/04
- IPC: H04B1/04 ; G06N3/04 ; G06N3/08 ; H04W88/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting distortion of radio signals A transmit radio signal corresponding to an output of a transmitting radio signal processing system is obtained. A pre-distorted radio signal is then generated by processing the transmit radio signal using a nonlinear pre-distortion machine learning model. The nonlinear pre-distortion machine learning model includes model parameters and at least one nonlinear function to correct radio signal distortion or interference. A transmit output radio signal is obtained by processing the pre-distorted radio signal through the transmitting radio signal processing system. The transmit output radio signal is then transmitted to one or more radio receivers.
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