Micro-Doppler Signature Analysis for Space Domain Awareness Using VHF Radar
Remote SensingThe large quantity of resident space objects orbiting Earth poses a threat to safety and efficient operations in space. Radar sensors are well suited to detecting objects in space including decommissioned satellites and debris, whereas the more commonly ...
Emma Heading +3 more
doaj +3 more sources
Estimation of Compression Depth During CPR Using FMCW Radar with Deep Convolutional Neural Network [PDF]
SensorsEffective Cardiopulmonary Resuscitation (CPR) requires precise chest compression depth, but current out-of-hospital monitoring technologies face limitations.
Insoo Choi +4 more
doaj +2 more sources
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.
Woodbridge, K. +3 more
core +5 more sources
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
openaire +1 more source
Automatic recognition of sonar targets using feature selection in micro-Doppler signature
Defence Technology, 2023 Currently, the use of intelligent systems for the automatic recognition of targets in the fields of defence and military has increased significantly.
Abbas Saffari +2 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source