NLFM pulse radar for drone detection using predistortion technique
Author:
Affiliation:
1. Information & Electronics Research Institute, KAIST, Daejeon, Republic of Korea
2. School of Electrical Engineering, KAIST, Daejeon, Republic of Korea
Funder
National Research Foundation of Korea
Institute of Information & Communications Technology Promotion & Evaluation
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,General Physics and Astronomy,Electronic, Optical and Magnetic Materials
Link
https://www.tandfonline.com/doi/pdf/10.1080/09205071.2020.1844598
Reference30 articles.
1. Machine Learning Inspired Sound-Based Amateur Drone Detection for Public Safety Applications
2. Wireless Charging Techniques for UAVs: A Review, Reconceptualization, and Extension
3. Surgical and Medical Applications of Drones: A Comprehensive Review
4. A technoethical review of commercial drone use in the context of governance, ethics, and privacy
5. Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions Over the Internet
Cited by 2 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. C-band NLFM Pulse Radar System Design and Predistortion Technique to detect SDR based Transponder;2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS);2023-08-19
2. Research on Ultra-Wideband NLFM Waveform Synthesis and Grating Lobe Suppression;Sensors;2022-12-14
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