A Low-Complexity Noise Reduction Algorithm for Enhanced Target Detection in FMCW Radar-Reference-Cited by-同舟云学术

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A Low-Complexity Noise Reduction Algorithm for Enhanced Target Detection in FMCW Radar

Published:2023-12 Issue:12 Volume:72 Page:15227-15236
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhu Luoyan¹^ORCID,Liu Yinsheng¹^ORCID,He Danping²^ORCID,Guan Ke²^ORCID,Liao Jingjing³,Zhong Zhangdui²^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

2. State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China

3. Wuhan Maritime Communication Research Institute, Wuhan, China

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Beijing Natural Science Foundation

Ministry of Education of the People's Republic of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10364906/10164024.pdf?arnumber=10164024

Reference24 articles.

1. MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges

2. Advances in Automotive Radar: A framework on computationally efficient high-resolution frequency estimation

3. 4D Automotive Radar Sensing for Autonomous Vehicles: A Sparsity-Oriented Approach

4. Phase Noise Spectral Density Measurement of Broadband Frequency-Modulated Radar Signals

5. On Postprocessing Reduction of Phase Noise in FMCW Radars

Cited by 1 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. Noise Reduction in Automotive Pulse Radar Using Signal Subspace and Presumed Ambiguity Function;IEEE Transactions on Vehicular Technology;2024-07

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