Sparse Adaptive Channel Estimation based on l<sub>0</sub>-PRLS Algorithm for Underwater Acoustic Communications-Reference-Cited by-同舟云学术

Sparse Adaptive Channel Estimation based on l₀-PRLS Algorithm for Underwater Acoustic Communications

Published:2022-02-21 Issue: Volume: Page:
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Container-title:OCEANS 2022 - Chennai
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Author:

Wang Yu¹,Qin Zhen¹,Tao Jun¹,Tong Feng²,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. Xiamen University,College of Ocean and Earth Sciences,Xiamen,China,361102

3. Pengcheng Laboratory,Shenzhen,China,518000

Funder

National Natural Science Foundation of China

State Key Laboratory of Acoustics

Chinese Academy of Sciences

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9775197/9775124/09775337.pdf?arnumber=9775337

Reference19 articles.

1. A Proportionate Recursive Least Squares Algorithm and Its Performance Analysis

2. New Sparse Adaptive Algorithms Based on the Natural Gradient and the ${L}_{0}$-Norm

3. Non-uniform l21-norm constraint based underwater acoustic channel adaptive estimation

4. Proportionate RLS with l1 norm regularization: Performance analysis and fast implementation

5. Sparse Channel Estimation for Multicarrier Underwater Acoustic Communication: From Subspace Methods to Compressed Sensing

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