Invention Grant
- Patent Title: Transmission system with channel estimation based on a neural network
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Application No.: US17623445Application Date: 2019-07-03
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Publication No.: US12021667B2Publication Date: 2024-06-25
- Inventor: Stefan Wesemann , Yejian Chen , Thorsten Wild , Jafar Mohammadi
- Applicant: Nokia Technologies Oy
- Applicant Address: FI Espoo
- Assignee: Nokia Technologies Oy
- Current Assignee: Nokia Technologies Oy
- Current Assignee Address: FI Espoo
- Agency: Harrington & Smith
- Agent Joseph C. Drish
- International Application: PCT/EP2019/067806 2019.07.03
- International Announcement: WO2021/001032A 2021.01.07
- Date entered country: 2021-12-28
- Main IPC: H04L25/02
- IPC: H04L25/02 ; H04B7/0413

Abstract:
An apparatus, method and computing program is described including: receiving one or more received symbols and one or more received bits, wherein the received symbols are received at a receiver of a transmission system including a transmitter, a channel, and the receiver; converting one or more of the received bits that are deemed to be correct into one or more estimated transmission symbols; generating an estimated channel transfer function based on one or more of the estimated transmission symbols and corresponding received symbols; and providing training data pairs, each training data pair including a first element based on the estimated channel transfer function and a second element based on the corresponding received symbols.
Public/Granted literature
- US20220376956A1 Transmission System with Channel Estimation Based on a Neural Network Public/Granted day:2022-11-24
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