Proceedings ArticleDOI
Noise robust classification of moving vehicles via micro-Doppler signatures
Yanbing Li,Lan Du,Hongwei Liu +2 more
- pp 1-4
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TLDR
Noise reduction and super-resolution are realized simultaneously via a redundant dictionary based l1 -norm optimization method using returned micro-Doppler signals for robust classification of moving wheeled and tracked vehicles.Abstract:
For robust classification of moving wheeled and tracked vehicles using returned micro-Doppler signals within short dwell time, the influence of receiver white noise and low spectrum resolution are encountered. In this paper, noise reduction and super-resolution are realized simultaneously via a redundant dictionary based l1 -norm optimization method. Experiments based on the measured data are presented, including the analysis of noise reduction performance, and the evaluation of classification robustness for different signal-to-noise ratio cases. The experimental results are also compared with related methods.read more
Citations
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Journal ArticleDOI
Review of micro-Doppler signatures
TL;DR: In this paper, the authors present a review of micro-Doppler based on subject type, sensor capabilities, as well as environmental effects, and then propose future research areas for micro doppler.
Journal ArticleDOI
Comparison of Different Classifiers for Automatic Target Recognition Systems
TL;DR: A monostatic K-band radar system is used to send and receive continuous electromagnetic signals, which are processed with fast Fourier transform for feature extraction to be applied on an artificial neural network and a support vector machine approach.
Proceedings ArticleDOI
Micro-Doppler Deception Jamming for Tracked Vehicles
Xiaoran Shi,Feng Zhou,Lei Liu +2 more
TL;DR: This paper proposes a new deception jamming method for tracked vehicles against continuous-wave ground surveillance radar that achieves both translational modulation for rigid parts and micro-Doppler modulation for the caterpillars.
Journal ArticleDOI
Human, Robotics Close Motion Classification Based on the Micro Doppler Signature Using HSVD
TL;DR: A practical result which investigates the classification between these two objects based on the micro-Doppler signatures using an S-band 2.4 GHz radar and the improved Stockwell transform to satisfy the classification.
References
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TL;DR: In this paper, the micro-Doppler effect was introduced in radar data, and a model of Doppler modulations was developed to derive formulas of micro-doppler induced by targets with vibration, rotation, tumbling and coning motions.
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Reduction of sidelobe and speckle artifacts in microwave imaging: the CLEAN technique
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Journal ArticleDOI
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TL;DR: In this article, the authors investigate the problem of reconstructing sparse multivariate trigonometric polynomials from few randomly taken samples by Basis Pursuit and greedy algorithms such as Orthogonal Matching Pursuit (OMP) and Thresholding.