On the DOA Estimation Performance of Optimum Arrays Based on Deep Learning-Reference-Cited by-同舟云学术

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On the DOA Estimation Performance of Optimum Arrays Based on Deep Learning

Published:2020-06 Issue: Volume: Page:
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Container-title:2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)
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Author:

WANDALE Steven,ICHIGE Koichi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9102205/9104219/09104365.pdf?arnumber=9104365

Cited by 11 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. Improving DOA Estimation via an Optimal Deep Residual Neural Network Classifier on Uniform Linear Arrays;IEEE Open Journal of Antennas and Propagation;2024-04

2. Time-Frequency Bins Selection for Direction of Arrival Estimation Based on Speech Presence Probability Learning;Circuits, Systems, and Signal Processing;2024-01-18

3. A Quadratic Sparse Reconstruction Algorithm for DOA Estimation Based on L-shaped Coprime Array;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21

4. DOA Estimation for 6G Communication Systems;2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST);2023-06-28

5. Enhanced Automotive Sensing Assisted by Joint Communication and Cognitive Sparse MIMO Radar;IEEE Transactions on Aerospace and Electronic Systems;2023

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