@inproceedings{3232b02e0dfb407ea872ce77c129922a,
title = "Efficient Detection and Localization of Multiple Extended Targets in Radar Systems with Sliding Window Energy Accumulation Method",
abstract = "In this paper, a new method for detecting and clustering multiple extended targets in high resolution range profile (HRRP) is proposed. Firstly, the traditional constant false alarm rate (CFAR) detection algorithm is used to detect targets, and then the sliding window energy accumulation method is used to cluster the targets. The proposed method can accurately detect the location and number of extended targets, and effectively eliminate the interference of noise points. The simulation and experimental results show that the proposed method has high detection accuracy and robustness, and can be applied to the field of multi-extended target detection.",
keywords = "CFAR detection, Extended target, Multi-target detection, Sliding window",
author = "Jianqiao Ruan and Guoqiang Zhao and Da Li and Chen Yao",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 ; Conference date: 14-05-2023 Through 17-05-2023",
year = "2023",
doi = "10.1109/ICMMT58241.2023.10276826",
language = "English",
series = "2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings",
address = "United States",
}