DOA Estimation via Adaptive Weighted Truncated Nuclear Norm-Reference-Cited by-同舟云学术

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DOA Estimation via Adaptive Weighted Truncated Nuclear Norm

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
language:
Short-container-title:

Author:

Tian Zhen¹,Zhu Qile¹,Fang Shun¹,Wu Qi²,Wu Shiqian¹

Affiliation:

1. Wuhan University of Science and Technology,Institute of Robotics and Intelligent System School of Information Science and Engineering,Wuhan,China

2. Jiangxi University of Finance and Economics,Software and Internet of Things Engineering,Nanchang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327057.pdf?arnumber=10327057

Reference20 articles.

1. Sparse and Low Rank Recovery Based Robust DOA Estimation Method;wang;Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,2020

2. Sparse and low-rank decomposition of covariance matrix for efficient DOA estimation

3. Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

4. Robust PCA via nonconvex rank approximation;kang;IEEE International Conference on Data Mining,2016

5. A Singular Value Thresholding Algorithm for Matrix Completion

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