Combining MIMO DBF With Automotive Synthetic Aperture Radar Imaging and Phase Error Correction-Reference-Cited by-同舟云学术

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Combining MIMO DBF With Automotive Synthetic Aperture Radar Imaging and Phase Error Correction

Published:2024 Issue: Volume:12 Page:31944-31959
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Farhadi Masoud¹^ORCID,Feger Reinhard¹^ORCID,Fink Johannes²,Wagner Thomas¹^ORCID,Stelzer Andreas¹^ORCID

Affiliation:

1. Institute for Communications Engineering and RF-Systems, Johannes Kepler University Linz (JKU Linz), Linz, Austria

2. Corporate Sector Research and Advance Engineering, Robert Bosch GmbH, Stuttgart, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445215.pdf?arnumber=10445215

Reference68 articles.

1. Autonomous vehicle perception: The technology of today and tomorrow

2. The Rise of Radar for Autonomous Vehicles: Signal Processing Solutions and Future Research Directions

3. Driving towards 2020: Automotive radar technology trends

4. Automotive radars: A review of signal processing techniques

Cited by 3 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. Real-Time Synthetic Aperture Radar Imaging with Random Sampling Employing Scattered Power Mapping;Sensors;2024-06-14

2. Deep Learning Radar Point Cloud Input Improvement Method;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

3. Ultra-Wide band radar and its applications;i-manager's Journal on Communication Engineering and Systems;2024

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