A Two-Stage Multi-Layer Perceptron for High-Resolution DOA Estimation-Reference-Cited by-同舟云学术

A Two-Stage Multi-Layer Perceptron for High-Resolution DOA Estimation

Published:2024-07 Issue:7 Volume:73 Page:9616-9631
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhang Yanjun¹^ORCID,Huang Yan¹^ORCID,Tao Jun²^ORCID,Tang Shiyang³^ORCID,So Hing Cheung⁴^ORCID,Hong Wei¹^ORCID

Affiliation:

1. State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing, China

2. Key Laboratory of Underwater Acoustic Signal Processing of the Ministry of Education, School of Information Science and Engineering, Southeast University, Nanjing, China

3. National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China

4. Department of Electrial Engineering, City University of Hong Kong, Hong Kong

Funder

National Natural Science Foundation of China

Shanghai Academy of Space Technology Innovation

Zhishan Young Scholar Funding of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10606142/10443553.pdf?arnumber=10443553

Reference47 articles.

1. Two decades of array signal processing research: the parametric approach

2. Deep Learning Approach in DOA Estimation: A Systematic Literature Review

3. A signal subspace approach to multiple emitter location spectral estimation;Schmidt,1981

4. Improving the resolution performance of eigenstructure-based direction-finding algorithms

5. Estimation of Signal Parameters via Rotational Invariance Techniques - ESPRIT

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