Journal ArticleDOI
Analysis of radar micro-Doppler signatures from experimental helicopter and human data
TLDR
The findings show that the results have higher precision after the m-D extraction rather than before it, since only the vibrational/rotational components are employed.Abstract:
This paper highlights the extraction of micro-Doppler (m-D) features from radar signal returns of helicopter and human targets using the wavelet transform method incorporated with time-frequency analysis. In order for the extraction of m-D features to be realised, the time domain radar signal is decomposed into a set of components that are represented at different wavelet scales. The components are then reconstructed by applying the inverse wavelet transform. After the separation of m-D features from the target's original radar return, time-frequency analysis is then used to estimate the target's motion parameters. The autocorrelation of the time sequence data is also used to measure motion parameters such as the vibration/rotation rate. The findings show that the results have higher precision after the m-D extraction rather than before it, since only the vibrational/rotational components are employed. This proposed method of m-D extraction has been successfully applied to helicopter and human data.read more
Citations
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Journal ArticleDOI
Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine
Youngwook Kim,Hao Ling +1 more
TL;DR: The feasibility of classifying different human activities based on micro-Doppler signatures is investigated and the potentials of classify human activities over extended time duration, through wall, and at oblique angles with respect to the radar are investigated and discussed.
Journal ArticleDOI
Imaging of a Moving Target With Rotating Parts Based on the Hough Transform
TL;DR: An imaging method for moving targets with rotating parts is presented that is simple to implement and is based on the Hough transform (HT), which is widely used in image processing.
Journal ArticleDOI
Classification of small UAVs and birds by micro-Doppler signatures
TL;DR: The problem of unmanned aerial vehicles classification using continuous wave radar using micro-Doppler signature is considered and it provides capability of correct classification with a probability of around 95%.
Book
Time-Frequency Signal Analysis With Applications
TL;DR: Introduction to Fourier Analysis Linear Time-Frequency Representations Quadratic Time- frequency Distributions Higher Order Time-f frequency Representations Analysis of Non-Stationary Noisy Signals Some Applications of Time- Frequency Analysis.
Journal ArticleDOI
Human Detection Using Doppler Radar Based on Physical Characteristics of Targets
TL;DR: A method for detecting a human subject using Doppler radar by investigating the physical characteristics of targets by using stride information of a target for the classification is proposed.
References
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Journal ArticleDOI
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Book
Time-Frequency Transforms for Radar Imaging and Signal Analysis
Victor C. Chen,Hao Ling +1 more
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Proceedings ArticleDOI
Analyzing and recognizing walking figures in XYT
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Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine
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