Vibrating micro-doppler signature extraction from SAR data using singular value decomposition

Carmine Clemente; John J. Soraghan

Vibrating micro-doppler signature extraction from SAR data using singular value decomposition

Carmine Clemente, John J. Soraghan

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

14 Citations (Scopus)

Abstract

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 this
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

Keywords

doppler effect
clutter
eigenvalues and eigenfunctions
logic gates
time frequency analysis

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Cite this

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abstract = "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.",

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author = "Carmine Clemente and Soraghan, {John J.}",

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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

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BT - 9th European Conference on Synthetic Aperture Radar, 2012. EUSAR

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Y2 - 23 April 2012 through 26 February 2015

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