@inproceedings{4063901c0609400686d59abe2fbbb883,
title = "Wideband Radar Ground Target Detection and Recognition in Strong Clutter Scene",
abstract = "With the rapid development of radar technology, wideband radar ground target detection and recognition using high-resolution radar profile (HRRP) under strong clutter has become an important research direction in the field of military airborne radar. But for now, there exist some critical problems such as robust application in low-SCR environment and time-critical environment. To solve the above problems, this paper proposes a real-time system of algorithms for ground target detection with Radon Fourier transform (RFT) and CLEAN technique, tracking with Hungarian algorithm and recognition with space-time information fusion based on D-S evidence theory, in ground clutter environment. In the mean time, the algorithms do not use the global information to detect and identify the past time, but only uses the information of the current and past time at each time, achieving the time-criticality.",
keywords = "CLEAN technique, D-S evidence theory, HRRP, Hungarian algorithm, Information fusion, RFT, Target detection, Target recognition, Target tracking",
author = "Xuan Yang and Qiang An and Jinzhi Xiang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 ; Conference date: 14-10-2021 Through 17-10-2021",
year = "2021",
doi = "10.1109/ICCAIS52680.2021.9624525",
language = "English",
series = "10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1002--1009",
booktitle = "10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings",
address = "United States",
}