RDCSAE-RKRVFLN: A unified deep learning framework for robust and accurate DOA estimation-Reference-Cited by-同舟云学术

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RDCSAE-RKRVFLN: A unified deep learning framework for robust and accurate DOA estimation

Published:2024-09 Issue: Volume:162 Page:111791
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Raiguru Priyadarshini^ORCID,Swain Bhanja Kishor,Rout Susanta Kumar,Sahani Mrutyunjaya^ORCID,Mishra Rabindra Kishore

Publisher

Elsevier BV

Reference60 articles.

1. Passive radar STAP detection and DoA estimation under antenna calibration errors;Blasone;IEEE Trans. Aerosp. Electron. Syst.,2021

2. CPHD-DOA tracking of multiple extended sonar targets in impulsive environments;Saucan;IEEE Trans. Signal Process.,2016

3. Toward green and soft: a 5G perspective;I;IEEE Commun. Mag.,2014

4. A full-space spectrum-sharing strategy for massive MIMO cognitive radio systems;Xie;IEEE J. Sel. Areas Commun.,2016

5. Direction of arrival estimation in the presence of model errors by signal subspace matching;Wax;Signal Process.,2021

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