A New Method for Traffic Participant Recognition Using Doppler Radar Signature and Convolutional Neural Networks [PDF]
SensorsThe latest survey results show an increase in accidents on the roads involving pedestrians and cyclists. The reasons for such situations are many, the fault actually lies on both sides.
Błażej Ślesicki, Anna Ślesicka
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Developments in target micro-doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar [PDF]
, 2013 Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro-Doppler signature.
Soraghan, J. J. +5 more
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Micro-Doppler Parameters Extraction of Precession Cone-Shaped Targets Based on Rotating Antenna
Remote Sensing, 2022 Micro-Doppler is regarded as a unique signature of a target with micro-motions. The sophisticated recognition of the cone-shaped targets can be realized through the micro-Doppler effect.
Zhihao Wang +4 more
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Micro-Doppler signature analysis for target classification
, 2023 El efecto micro-Dopppler es el fenómeno observado en las señales radar de retorno de un objeto formado por partes móviles. Este efecto es representado por las firmas micro-Doppler, las cuales contienen abundante información sobre el objeto irradiado con radar.
Machuca Meoño, Diego Nicolás
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Realistic Simulation of Drone Micro-Doppler Signatures
2021 18th European Radar Conference (EuRAD), 2022 This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation ...
Bennett, Cameron +2 more
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International Journal of Advanced Robotic Systems, 2021 The study investigated object detection and classification based on both Doppler radar spectrograms and vision images using two deep convolutional neural networks.
Jnana Sai Abhishek Varma Gokaraju +3 more
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Dual-Scale Doppler Attention for Human Identification
Sensors, 2022 This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input.
Sunjae Yoon +4 more
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Using SVM Classifier and Micro-Doppler Signature for Automatic Recognition of Sonar Targets [PDF]
Archives of Acoustics, 2023 In this paper, we propose using a propeller modulation on the transmitted signal (called sonar micro- Doppler) and different support vector machine (SVM) kernels for automatic recognition of moving sonar targets.
Abbas Saffari +2 more
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Attention‐enhanced Alexnet for improved radar micro‐Doppler signature classification
IET Radar, Sonar & Navigation, 2023 This work introduces an attention mechanism that can be integrated into any standard convolution neural network to improve model sensitivity and prediction accuracy with minimal computational overhead.
Shelly Vishwakarma +5 more
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A Multi-Rotor Drone Micro-Motion Parameter Estimation Method Based on CVMD and SVD
Remote Sensing, 2022 It is of great significance to detect drones in airspace due to the substantial increase and regrettable misuse in the consumer market. In this paper, we establish a micro-motion theoretical model of a drone and analyze the micro-Doppler signature of ...
Degui Yang +4 more
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