Invention Application
- Patent Title: EQUALIZER AND AN EQUALIZER TRAINING UNIT FOR DATA-DEPENDENT DISTORTION COMPENSATION
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Application No.: US17670889Application Date: 2022-02-14
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Publication No.: US20220271979A1Publication Date: 2022-08-25
- Inventor: Wouter LANNEER , Yannick LEFEVRE , Paschalis TSIAFLAKIS , Werner COOMANS
- Applicant: Nokia Solutions and Networks Oy
- Applicant Address: FI Espoo
- Assignee: Nokia Solutions and Networks Oy
- Current Assignee: Nokia Solutions and Networks Oy
- Current Assignee Address: FI Espoo
- Priority: EP21158710.0 20210223
- Main IPC: H04L25/03
- IPC: H04L25/03 ; H04L25/02

Abstract:
The present disclosure relates to an equalizer training unit for deriving equalization parameters for compensating data-dependent distortion in received samples by use of a training sequence including a sequence p>1 times and cyclically comprising N sub-sequences of respective combinations of L time-domain symbols of a modulation scheme, wherein the N sub-sequences are cyclically arranged in a selected order and such that L−1 symbols of a respective sub-sequence overlap with symbols in the preceding and following sub-sequences. The present disclosure further relates to a training sequence generator unit for generative the training sequence and an equalizer employing the equalizer training unit.
Public/Granted literature
- US11817975B2 Equalizer and an equalizer training unit for data-dependent distortion compensation Public/Granted day:2023-11-14
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