A Novel Deep Learning-Assisted Microwave Photonic Direction Finding System Based on Long-Baseline Array-Reference-Cited by-同舟云学术

A Novel Deep Learning-Assisted Microwave Photonic Direction Finding System Based on Long-Baseline Array

Published:2023-08-01 Issue:15 Volume:41 Page:4971-4978
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Li Yin¹^ORCID,Cai Qiaosong²^ORCID,Yang Jie²^ORCID,Zhou Tong³^ORCID,Peng Yuanxi¹^ORCID,Jiang Tian⁴^ORCID

Affiliation:

1. Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer Science and Technology, National University of Defense Technology, Changsha, China

2. National Innovation Institute of Defense Technology, Academy of Military Sciences PLA China, Beijing, China

3. Beijing Institute for Advanced Study, National University of Defense Technology, Changsha, China

4. Institute for quantum science and technology, College of Science, National University of Defense Technology, Changsha, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Self-Topic Fund of State Key Laboratory of High Performance Computing

National University of Defense Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/10190599/10059152.pdf?arnumber=10059152

Reference39 articles.

1. Unambiguous measurement of AOA using a DDMZM

2. A tutorial on support vector regression

3. Simple photonics-based system for Doppler frequency shift and angle of arrival measurement

4. Deep Residual Learning for Image Recognition

5. Photonic approach for simultaneous measurements of Doppler-frequency-shift and angle-of-arrival of microwave signals

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