Deep Learning Based Detection for Communications Systems With Radar Interference-Reference-Cited by-同舟云学术

Deep Learning Based Detection for Communications Systems With Radar Interference

Author:

Liu Chenguang¹^ORCID,Chen Yunfei¹^ORCID,Yang Shuang-Hua²^ORCID

Affiliation:

1. School of Engineering, University of Warwick, Coventry, U.K.

2. Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China

Funder

EC H2020 DAWN4IoE-Data Aware Wireless Network for Internet-of-Everything

National Natural Science Foundation of China

Science and Technology Innovation Commission of Shenzhen

Guangdong Provincial Science and Technology Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference30 articles.

1. Deep Learning;goodfellow,2016

Cited by 7 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

5. Range and Velocity Estimation for RadCom-Meta Network: a Fully Connected Neural Network based Mechanism;2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom);2023-06