Separation of Mixed Near-field and Far-field Sources and DOA Estimation based on Deep Learning-Reference-Cited by-同舟云学术

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Separation of Mixed Near-field and Far-field Sources and DOA Estimation based on Deep Learning

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)
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Author:

Qi Meibin¹,Ren Weijie¹,Xiang Houhong²

Affiliation:

1. Hefei University of Technology,Institude of Signal and Information Processing,Hefei,China,230601

2. Hefei University of Technology,Radar Technology and Innovative Application Laboratory,Hefei,China,230601

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10367211/10367195/10367306.pdf?arnumber=10367306

Reference21 articles.

1. Multiple emitter location and signal parameter estimation

2. A subspace rotation approach to signal parameter estimation

3. Maximum likelihood direction finding of stochastic sources: a separable solution

4. High-performance 2D DOA estimation and 3D localization for mixed near/far-field sources using fourth-order spatiotemporal algorithm

5. Passive localization for near-field sources based on covariance difference;LIU Guohong;ACTA ELECTONICA SINICA,2021

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