STIF: A Spatial–Temporal Integrated Framework for End-to-End Micro-UAV Trajectory Tracking and Prediction With 4-D MIMO Radar-Reference-Cited by-同舟云学术

STIF: A Spatial–Temporal Integrated Framework for End-to-End Micro-UAV Trajectory Tracking and Prediction With 4-D MIMO Radar

Published:2023-11-01 Issue:21 Volume:10 Page:18821-18836
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Huang Darong¹^ORCID,Zhang Zhenyuan²^ORCID,Fang Xin³^ORCID,He Min³,Lai Huizhen²,Mi Bo²^ORCID

Affiliation:

1. School of Artificial Intelligence, Engineering Research Center of Autonomous Unmanned System Technology of Ministry of Education, Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology, Anhui University, Hefei, China

2. School of Information Science and Engineering, Chongqing Jiaotong University, Chongging, China

3. School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Science and Technology Research Program of Chongqing Municipal Education Commission

Sichuan Science and Technology Support Project

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/ielx7/6488907/10288305/10044147.pdf?arnumber=10044147

Reference56 articles.

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2. iDT: An Integration of Detection and Tracking Toward Low-Observable Multipedestrian for Urban Autonomous Driving

3. M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction

4. An Efficient Strategy for Accurate Detection and Localization of UAV Swarms

5. Review of radar classification and RCS characterisation techniques for small UAVs or drones

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