Entropy-Based Ultra-Wide Band Radar Signals Segmentation for Multi Obstacle Detection
Author:
Affiliation:
1. IEMN-DOAE, UMR CNRS 8520, Polytechnic University Hauts-de-France, Valenciennes, France
2. Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, Laboratory of Advanced Technology and Intelligent Systems (LATIS), Sousse, Tunisia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9357819/09316756.pdf?arnumber=9316756
Cited by 4 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
1. Obstacle Recognition with Ultra-Wideband Based on Integrated Learning;2023 IEEE International Conference on Networking, Sensing and Control (ICNSC);2023-10-25
2. Detection of Farmland Obstacles Based on an Improved YOLOv5s Algorithm by Using CIoU and Anchor Box Scale Clustering;Sensors;2022-02-24
3. Target Classification Algorithm Based on Characteristics of UWB Signals;Digital Technologies and Applications;2022
4. Keystroke Dynamics Classification Based On LSTM and BLSTM Models;2021 International Conference on Cyberworlds (CW);2021-09
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