中文版 | English
Title

Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective

Author
DOI
Publication Years
2023-05-28
ISSN
1938-1883
ISBN
978-1-5386-7463-5
Source Title
Pages
6429-6434
Conference Date
28 May-1 June 2023
Conference Place
Rome, Italy
Keywords
SUSTech Authorship
First
URL[Source Record]
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10279816
Citation statistics
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/582722
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
2.Department of Electrical, Electronic, and Computer Engineering, University of Western Australia, Perth, WA, Australia
3.Department of Automation, Tsinghua University, Beijing, China
4.Information Coding Transmission Key Lab of Sichuan Province, CSNMT Int. Coop. Res. Centre (MoST), Southwest Jiaotong University, Chengdu, Sichuan, China
5.College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
First Author AffilicationDepartment of Electrical and Electronic Engineering
First Author's First AffilicationDepartment of Electrical and Electronic Engineering
Recommended Citation
GB/T 7714
Kecheng Zhang,Weijie Yuan,Shuangyang Li,et al. Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective[C],2023:6429-6434.
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