Optimum Averaging of Superimposed Training Schemes in OFDM Under Realistic Time-Variant Channels-Reference-Cited by-同舟云学术

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Optimum Averaging of Superimposed Training Schemes in OFDM Under Realistic Time-Variant Channels

Published:2021 Issue: Volume:9 Page:115620-115631
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pique Muntane Ignasi,Fernandez-Getino Garcia M. Julia

Funder

Ministerio de Economa y Competitividad

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09514564.pdf?arnumber=9514564

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized Superimposed Training for MMSE Aware of Realistic Time-Variant Channel Models in OFDM;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04

2. Parametric Model and Estimator Classifier for Optimal Averaging in Mobile OFDM Systems with Superimposed Training;2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2023-06-25

3. Parametric Approximation to Optimal Averaging in Superimposed Training Schemes under Realistic Time-Variant Channels;2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP);2022-07-20

4. Channel estimation based on superimposed pilot and weighted averaging;Scientific Reports;2022-06-18

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