Invention Grant
- Patent Title: Facilitation of passive intermodulation cancelation via machine learning
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Application No.: US16237922Application Date: 2019-01-02
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Publication No.: US10601456B2Publication Date: 2020-03-24
- Inventor: Ernest Tsui , Paul Maxwell , Weihua Ye
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
- Current Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
- Current Assignee Address: US GA Atlanta
- Agency: Amin, Turocy & Watson ,LLP
- Main IPC: H04B1/10
- IPC: H04B1/10 ; H04B1/04 ; H04B17/11 ; H04B17/21 ; G06N20/00

Abstract:
A passive intermodulation detection system is provided to remotely identify passive intermodulation at a base station site and diagnose the type of intermodulation and location of the non-linearity that is the source of the passive intermodulation. A passive intermodulation cancelation system can generate an equivalent signal to a received interference signal and use the equivalent signal to generate an error signal. The error signal can then be used to reinforce a learning system and converge on a steady state of the interference signal to cancel other interference signals.
Public/Granted literature
- US20190158131A1 FACILITATION OF PASSIVE INTERMODULATION CANCELATION VIA MACHINE LEARNING Public/Granted day:2019-05-23
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