Deep Networks for Direction-of-Arrival Estimation in Low SNR-Reference-Cited by-同舟云学术

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Deep Networks for Direction-of-Arrival Estimation in Low SNR

Published:2021 Issue: Volume:69 Page:3714-3729
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Papageorgiou Georgios^ORCID,Sellathurai Mathini^ORCID,Eldar Yonina^ORCID

Funder

UK's EPSRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9307529/09457195.pdf?arnumber=9457195

Cited by 126 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

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2. Full-Dimensional Partial-Search Generalized Radon–Fourier Transform for High-Speed Maneuvering Target Detection;IEEE Transactions on Aerospace and Electronic Systems;2024-08

3. An optimized deep learning model for a highly accurate DOA and channel estimation for massive MIMO systems;International Journal of Communication Systems;2024-07-18

4. Direction of Arrival Joint Prediction of Underwater Acoustic Communication Signals Using Faster R-CNN and Frequency–Azimuth Spectrum;Remote Sensing;2024-07-12

5. DOA Estimation Based on Virtual Array Aperture Expansion Using Covariance Fitting Criterion;Remote Sensing;2024-07-09

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