Classification of Interference Signal for Automotive Radar Systems With Convolutional Neural Network-Reference-Cited by-同舟云学术

Classification of Interference Signal for Automotive Radar Systems With Convolutional Neural Network

Author:

Kim Jinwook^ORCID,Lee Seongwook^ORCID,Kim Yong-Hwa^ORCID,Kim Seong-Cheol^ORCID

Funder

National Research Foundation of Korea (NRF) Grant

Korean Government [Ministry of Science and ICT (Information & Communication Technology) (MSIT)]

Technology Innovation Program

Ministry of Trade, Industry & Energy (MOTIE), South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Cited by 22 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

2. Frequency Modulated Continuous Wave Radar-Based Human Sitting Posture Detection In Bathroom Environment;2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS);2023-09-22

4. CNN-Based on-Board Interference Detection in Satellite Systems: AN Analysis of Dataset Impact on Performance;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

5. Keep It Simple: CNN Model Complexity Studies for Interference Classification Tasks;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2023-05-20