Echoformer: Transformer Architecture Based on Radar Echo Characteristics for UAV Detection
Author:
Affiliation:
1. School of Electronics and Information Engineering, Hebei University of Technology, Tianjin, China
2. Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
National Key Research and Development Program of China for Intelligent Robotics Special Project
Natural Science Foundation of Hebei Province, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10102602/10068427.pdf?arnumber=10068427
Reference45 articles.
1. Ghost Target Suppression Using Deep Neural Network in Radar-Based Indoor Environment Mapping
2. Low-SNR Recognition of UAV-to-ground Targets Based on Micro-Doppler Signatures Using Deep Convolutional Denoising Encoders and Deep Residual Learning
3. Detection and Classification of Multirotor Drones in Radar Sensor Networks: A Review
4. Micro-Doppler-Radar-Based UAV Detection Using Inception-Residual Neural Network
5. An Adaptive Radar Signal Processor for UAVs Detection With Super-Resolution Capabilities
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