An L-statistics based method for micro-Doppler effects removal is proposed in this paper. The L-statistics approach is performed on the spectrogram, while the rigid body signal synthesis is done in the complex time-frequency domain.
Micro-Doppler effect removal for ISAR imaging based on bivariate variational mode decomposition. Access Full Text. Micro-Doppler effect removal for ISAR imaging based on bivariate variational mode decomposition. Author (s): Wenwu Kang 1, 2; Yunhua Zhang 1, 2; Xiao Dong 1.
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Genetic algorithm for rigid body reconstruction after micro-doppler removal in the radar imaging analysis.
Radar target micro-Doppler signatures reflect the electromagnetic characteristics, geometry structures and motion signatures of the target, which has been shown to be promising signatures for application. In this paper, we review the present research status and some key techniques in this field, including the analysis of micro-Doppler signatures, feature extraction and the applied fields.
We use polarimetric micro-Doppler for the detection of arm motion, especially for the classification of whether someone has their arms swinging and is thus unloaded. The arm is often bent at the elbow, providing a surface somewhat similar to a dihedral. This is distinct from the more planar surfaces of the body which allows us to isolate the signals of the arm (and knee).
Analysis of micro-Doppler signatures V.C. Chen, F. Li, S.-S. Ho and H. Wechsler Abstract: 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 Effect in Radar: Phenomenon, Model, and Simulation Study VICTOR C. CHEN Naval Research Laboratory FAYIN LI SHEN-SHYANG HO HARRY WECHSLER, Fellow, IEEE George Mason University When, in addition to the constant Doppler frequency shift induced by the bulk motion of a radar target, the target or any.
In radar imaging it is well known that relative motion or deformation of parts of illuminated objects induce additional features in the Doppler frequency spectra. These features are called micro-Doppler effect and appear as sidebands around the central Doppler frequency.
Micro-Doppler E ect in radar The mathematics of the micro-Doppler e ect from radar can be derived from introducing micro-motion to the conventional Doppler analysis. In this section the basics of the micro-Doppler e ect are introduced. This is important for the understanding and the derivation of the micro- Doppler e ects in more complex.
This paper describes the method and algorithms for analysis of moving object image, which was obtained by Doppler laser radar. A Doppler image is 2D image, in which any pixel represents a value of Doppler shift (the radial velocity) for the area element of observed scene. It is difficult for human-operator to percept a Doppler image on radar.
Micro-Doppler Characteristics of Radar Targets is a monograph on radar target’s micro-Doppler effect theory and micro-Doppler feature extraction techniques. The micro-Doppler effect is presented from two aspects, including micro-Doppler effect analysis and micro-Doppler feature extraction, with micro-Doppler effects induced by different micro-motional targets in different radar systems.
Cross-frequency training with adversarial learning for radar micro-Doppler signature classification Paper 11408-16 Author(s): Sevgi Zubeyde Gurbuz, Mohammad M. Rahman, Emre Kurtoglu, Trevor Macks, The Univ. of Alabama (United States); Francesco Fioranelli, Univ. of Glasgow (United Kingdom).
In many cases, a target or a structure on a target may have micro-motions, such as vibrations or rotations. Micro-motions of structures on a target may introduce frequency modulation on the returned radar signal and generate sidebands on the Doppler frequency shift of the target's body.
The micro-Doppler (m-D) effect induced by the rotating parts or vibrations of the target provides a new approach for target recognition. To obtain high range resolution for the extraction of the fine m-D signatures of an inverse synthetic aperture radar target, the stepped-frequency chirp signal (SFCS) is used to synthesize the ultrabroad bandwidth and reduce the requirement of sample rates.When, in addition to the constant Doppler frequency shift induced by the bulk motion of a radar target, the target or any structure on the target undergoes micro-motion dynamics, such as mechanical vibrations or rotations, the micro-motion dynamics induce Doppler modulations on the returned signal, referred to as the micro-Doppler effect. We introduce the micro-Doppler phenomenon in radar.The micro-Doppler effect appears as Doppler frequency modulations in coherent laser or microwave radar systems induced by mechanical vibrations or rotations of a target or any part on the target. These Doppler modulations become a distinctive signature of a target that incorporates vibrating or rotating structures, and provides evidence of the identity of the target with movement.