Abstract
paper a micro-Doppler signature extraction method based on the Singular Value Decomposition is applied to extract the target micro-Doppler features from the received SAR signal. The effectiveness of the proposed approach is confirmed through simulations.
| Original language | English |
|---|---|
| Title of host publication | 9th European Conference on Synthetic Aperture Radar, 2012. EUSAR |
| Pages | 191-194 |
| Number of pages | 4 |
| Publication status | Published - Apr 2012 |
| Event | European SAR conference 2012 - Nuremberg, Germany Duration: 23 Apr 2012 → 26 Feb 2015 |
Conference
| Conference | European SAR conference 2012 |
|---|---|
| Country | Germany |
| City | Nuremberg |
| Period | 23/04/12 → 26/02/15 |
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Keywords
- doppler effect
- clutter
- eigenvalues and eigenfunctions
- logic gates
- time frequency analysis
Cite this
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Vibrating micro-doppler signature extraction from SAR data using singular value decomposition. / Clemente, Carmine; Soraghan, John J.
9th European Conference on Synthetic Aperture Radar, 2012. EUSAR. 2012. p. 191-194.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Vibrating micro-doppler signature extraction from SAR data using singular value decomposition
AU - Clemente, Carmine
AU - Soraghan, John J.
PY - 2012/4
Y1 - 2012/4
N2 - The effect of target micro-motions on the Synthetic Aperture Radar signal results in micro-Doppler target signatures. These micro-Doppler signatures can be a useful source of information for target classification. However the presence of stationary target and noise in the scene makes the extraction of the micro-Doppler signature a difficult challenge. In thispaper a micro-Doppler signature extraction method based on the Singular Value Decomposition is applied to extract the target micro-Doppler features from the received SAR signal. The effectiveness of the proposed approach is confirmed through simulations.
AB - The effect of target micro-motions on the Synthetic Aperture Radar signal results in micro-Doppler target signatures. These micro-Doppler signatures can be a useful source of information for target classification. However the presence of stationary target and noise in the scene makes the extraction of the micro-Doppler signature a difficult challenge. In thispaper a micro-Doppler signature extraction method based on the Singular Value Decomposition is applied to extract the target micro-Doppler features from the received SAR signal. The effectiveness of the proposed approach is confirmed through simulations.
KW - doppler effect
KW - clutter
KW - eigenvalues and eigenfunctions
KW - logic gates
KW - time frequency analysis
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6217013
M3 - Conference contribution book
SN - 978-3-8007-3404-7
SP - 191
EP - 194
BT - 9th European Conference on Synthetic Aperture Radar, 2012. EUSAR
ER -