Sparse Reconstruction Based on Tanimoto Coefficient for DOA Estimation in Compressed Sensing-Reference-Cited by-同舟云学术

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Sparse Reconstruction Based on Tanimoto Coefficient for DOA Estimation in Compressed Sensing

Published:2022-08-23 Issue: Volume: Page:
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Container-title:2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN)
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Author:

Xu Luo¹,Liu Jianhang¹,Chen Haihua²,Zhang Yucheng³,Zhang Jingyao¹,Li Xiaoting¹

Affiliation:

1. College of Oceanography and Space Informatics, China University of Petroleum (East China),Qingdao,China

2. Institute of Computing Technology,Chinese Academy of Sciences,Beijing,China

3. Engineering Laboratory of Intelligent Agricultural,Machinery Equipment Chinese Academy of Sciences,Beijing,China

Funder

National Defense Basic Scientific Research program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10006415/10006419/10006569.pdf?arnumber=10006569

Reference11 articles.

1. Signal Recovery from Random Measurements via Extended Orthogonal Matching Pursuit

2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

3. Bayesian Compressive Sensing

4. Compressed sensing

5. A study of compressed sensing single-snapshot DOA estimation based on the RIPless theory

Cited by 1 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. Improved block sparse Bayesian learning based DOA estimation for massive MIMO systems;AEU - International Journal of Electronics and Communications;2023-07

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