Performance Analysis of Coordinated Interference Mitigation Approach for Automotive Radar-Reference-Cited by-同舟云学术

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Performance Analysis of Coordinated Interference Mitigation Approach for Automotive Radar

Published:2023-07-01 Issue:13 Volume:10 Page:11683-11695
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Yi¹^ORCID,Zhang Qixun¹^ORCID,Wei Zhiqing¹^ORCID,Lin Yuewei²,Feng Zhiyong¹^ORCID

Affiliation:

1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

2. College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China

Funder

National Key Research and Development Project

Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education, Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10159464/10044192.pdf?arnumber=10044192

Reference49 articles.

1. Interference in Automotive Radar Systems: Characteristics, Mitigation Techniques, and Current and Future Research

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

3. A Ghost Target Suppression Technique using Interference Replica for Automotive FMCW Radars

4. Interference Avoidance and Mitigation in Automotive Radar

5. Millimeter-Wave Technology for Automotive Radar Sensors in the 77 GHz Frequency Band

Cited by 2 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. Analysis of Interference on FMCW Radar Velocity Detection;2023 IEEE 7th International Symposium on Electromagnetic Compatibility (ISEMC);2023-10-20

2. Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12

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