SDOA-Net: An Efficient Deep-Learning-Based DOA Estimation Network for Imperfect Array-Reference-Cited by-同舟云学术

SDOA-Net: An Efficient Deep-Learning-Based DOA Estimation Network for Imperfect Array

Author:

Chen Peng¹^ORCID,Chen Zhimin²^ORCID,Liu Liang³^ORCID,Chen Yun⁴^ORCID,Wang Xianbin⁵^ORCID

Affiliation:

1. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China

2. School of Electronic and Information, Shanghai Dianji University, Shanghai, China

3. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, China

4. State Key Laboratory of Integrated Chips and Systems and the Microelectronics School, Fudan University, Shanghai, China

5. Department of Electrical and Computer Engineering, Western University, London, ON, Canada

Funder

Natural Science Foundation for Excellent Young Scholars of Jiangsu Province

Natural Science Foundation of Shanghai

Open Fund of State Key Laboratory of Integrated Chips and Systems

National Key Research and Development Program of China

Open Fund of National Key Laboratory of Wireless Communications Foundation

Open Fund of National Key Laboratory on Electromagnetic Environmental Effects and Electro-Optical Engineering

Open Fund of ISN State Key Laboratory

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference50 articles.

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