Results 11 to 20 of about 5,738 (222)
Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System
Remote Sensing, 2017 Micro-Doppler signature can convey information of detected targets and has been used for target recognition in many Radar systems. Nevertheless, micro-Doppler for the specific Forward Scattering Radar (FSR) system has yet to be analyzed and investigated ...
Raja Syamsul Azmir Raja Abdullah +5 more
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Examination of Drone Micro-Doppler and JEM/HERM Signatures [PDF]
2020 IEEE Radar Conference (RadarConf20), 2020 Radars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature extraction and instead result in Doppler signatures consisting of spectral lines to the radar's higher-level processing.
Markow, John, Balleri, Alessio
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Causal Localization Network for Radar Human Localization With Micro-Doppler Signature
IEEE AccessThe Micro-Doppler (MD) signature includes unique characteristics from different-sized body parts such as arms, legs, and torso. Existing radar identification systems have attempted to classify human identification using these characteristics in MD ...
Sunjae Yoon +5 more
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Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing [PDF]
Journal of Electrical and Computer Engineering, 2015 When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem.
Jing-bo Zhuang +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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