MIMO imaging method with iterative-based super-resolution for automotive radar-Reference-Cited by-同舟云学术

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MIMO imaging method with iterative-based super-resolution for automotive radar

Published:2024-04-14 Issue: Volume: Page:13031-13035
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Kim Bong-Seok¹,Lee Jonghun²,Jin Youngseok¹,Kim Sangdong²,Narayanan Ram M.³

Affiliation:

1. Daegu Gyeongbuk Institute of Science and Technology (DGIST),Division of Automotive Technology,Daegu,South Korea

2. DGIST,Division of Automotive Technology and the Department of Interdisciplinary Engineering,Daegu,South Korea

3. The Pennsylvania State University,Department of Electrical Engineering,PA,USA

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447186.pdf?arnumber=10447186

Reference11 articles.

1. High Fidelity Physics-Based Simulation of a 512-Channel 4D-Radar Sensor for Automotive Applications

2. Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images

3. Multipath in Automotive MIMO SAR Imaging

4. Improved Wavelet Packet Noise Reduction for Microseismic Data via Fuzzy Partition

5. Multisensor Polarimetric MIMO Radar Network for Disaster Scenario Detection of Persons

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