Outlier Robust Kalman Filter based Channel Tracking for Single-Carrier Underwater Acoustic Communications-Reference-Cited by-同舟云学术

Outlier Robust Kalman Filter based Channel Tracking for Single-Carrier Underwater Acoustic Communications

Published:2022-10-17 Issue: Volume: Page:
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Container-title:OCEANS 2022, Hampton Roads
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Author:

Wu Yanjun¹,Wang Yuxing¹,Tao Jun¹,Yang Le²,Qiao Yongjie³

Affiliation:

1. Southeast University,Key Laboratory of Underwater Acoustic Signal Processing of the Ministry of Education, School of Information Science and Engineering,Nanjing,China,210096

2. University of Canterbury,Department of ECE,Christchurch,New Zealand,8020

3. Pengcheng Laboratory,Shenzhen,China,518000

Funder

National Natural Science Foundation of China

Six Talent Peaks Project in Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9976950/9976951/09977207.pdf?arnumber=9977207

Reference12 articles.

1. Model-Based Signal Subspace Channel Tracking for Correlated Underwater Acoustic Communication Channels

2. Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals

3. Robust underwater acoustic channel estimation in impulsive noise environment;guo;Proc IEEE ICC Workshops08,2021

4. Proportionate Kalman Filter for Model-Based Channel Tracking in Underwater Acoustic Communications

5. An outlier-robust Kalman filter

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