Paper Info
Title
Micro-Doppler Trajectory Estimation of Pedestrians Using a Continuous-Wave Radar
Abstract
Radar backscattering from human objects is subject to micro-Doppler modulations because of their flexible body articulations and complicated movement patterns, which can help identify the interested targets and provide valuable information about their motion dynamics. In this paper, a novel theoretical method to extract target micro-Doppler trajectories from continuous-wave radar echo is proposed with a united application of a modified high-order ambiguity function and an adaptive denoising technology. Through this method, multiple components corresponding to different target scattering parts and their micro-Doppler trajectories can be accurately extracted and estimated even in a time-varying low signal-to-noise ratio environment. Finally, a series of simulations is conducted to illustrate the validity and performance of the proposed techniques.
Year
DOI
Venue
2014
10.1109/TGRS.2013.2292826
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
adaptive signal detection,radar backscattering,micro-doppler effect,pedestrians,signal denoising,target identification,micro-doppler modulation,clean algorithm,doppler radar,cw radar,modified high order ambiguity function,motion dynamics,flexible body articulation,human object,motion estimation,adaptive radar,adaptive denoising technology,radar detection,object tracking,continuous wave radar echo,object detection,adaptive denoising,target scattering,micro-doppler trajectory estimation,continuous-wave (cw) radar,backscatter,complicated movement pattern,modified high ambiguous function
Radar engineering details,Continuous-wave radar,Pulse-Doppler radar,Radar,Computer vision,Doppler radar,Radar imaging,Remote sensing,Bistatic radar,Artificial intelligence,Fire-control radar,Mathematics
Journal
Volume
Issue
ISSN
52
9
0196-2892
Citations 
PageRank 
References 
4
0.55
7
Authors
2
Name
Order
Citations
PageRank
Yipeng Ding1133.79
Jingtian Tang240.55