Results 51 to 60 of about 25,497 (306)
Remote Sensing, 2022 The micro-movement feature is recognized as one of the practical features of space target recognition in academic circles. The separation of the micro-Doppler curve of the scattering center is the key to feature extraction and parameter estimation, which
Degui Yang +3 more
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Personnel recognition based on multistatic micro-Doppler and singular value decomposition features [PDF]
, 2015 The use of micro-Doppler signatures experimentally collected by a multistatic radar system to recognise and classify different people walking is discussed.
Fioranelli, F. +2 more
core +2 more sources
Analysis of micro-Doppler signatures
IEE Proceedings - Radar, Sonar and Navigation, 2003 Mechanical vibration or rotation of a target or structures on the target may induce additional frequency modulations on the returned radar signal which generate sidebands about the target's Doppler frequency, called the micro-Doppler effect. Micro-Doppler signatures enable some properties of the target to be determined.
V.C. Chen, F. Li, S.-S. Ho, H. Wechsler
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Feature diversity for optimized human micro-doppler classification using multistatic radar [PDF]
, 2017 This paper investigates the selection of different combinations of features at different multistatic radar nodes, depending on scenario parameters, such as aspect angle to the target and signal-to-noise ratio, and radar parameters, such as dwell time ...
Fioranelli, Francesco +3 more
core +2 more sources
micro-Doppler ballistic targets
, 2016 This data-set contains signals from scaled replicas of ballistic targets with micro-motions acquired in a controlled indoor environment with a 24GHz CW radar. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant number EP/K014307/1 and by the Centre for Defence Enterprise under the contract CDE36521.
Persico, Adriano Rosario +4 more
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CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
, 2021 High quality perception is essential for autonomous driving (AD) systems. To reach the accuracy and robustness that are required by such systems, several types of sensors must be combined. Currently, mostly cameras and laser scanners (lidar) are deployed
Newson, A. +4 more
core +2 more sources
Features for micro‐Doppler based activity classification
IET Radar, Sonar & Navigation, 2015 Safety and security applications benefit from better situational awareness. Radar micro‐Doppler signatures from an observed target carry information about the target's activity, and have potential to improve situational awareness. This article describes, compares, and discusses two methods to classify human activity based on radar micro‐Doppler data ...
Svante Björklund +2 more
openaire +3 more sources
Multi-aspect micro-Doppler signatures for attitude-independent L/N quotient estimation and its application to helicopter classification [PDF]
, 2017 Micro-Doppler signals returned from the main rotor of a helicopter can be used for feature extraction and helicopter classification. An intrinsic feature of a helicopter that may be extracted from the micro-Doppler signatures is the L/N quotient, where N
Clemente, Carmine +3 more
core +1 more source
Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification [PDF]
, 2015 The target echo signals obtained by Synthetic Aperture Radar (SAR) and Ground Moving Target Indicator (GMTI platforms are mainly composed of two parts, the micro-Doppler signal and the target body part signal.
Eoin Clancy (794020) +8 more
core +5 more sources
A Matching Pursuit-Based Vehicle Wheel Parameter Extraction Method from Micro-Doppler Radar Signal [PDF]
Radioengineering, 2021 Micro-Doppler effects of moving vehicles in a radar system are mainly induced by the rotation of wheels, whose features are closely related to the numbers, positions and radiuses of wheels.
L. Zhang, Y. Chen, S. Liu, B. Zou
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