Imaging of Moving Targets With Multi-Static SAR Using an Overcomplete Dictionary

This paper presents a method for imaging of moving targets using multi-static radar by treating the problem as one of joint spatial reflectivity signal inversion with respect to an overcomplete dictionary of target velocities. Existing approaches to dealing with moving targets in SAR solve the nonli...

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Published inIEEE journal of selected topics in signal processing Vol. 4; no. 1; pp. 164 - 176
Main Authors Stojanovic, I., Karl, W.C.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Dictionaries
Filtering
Geometry
Imaging
Inversions
Layout
Matched filters
Mathematical models
Motion estimation
Moving targets
multi-static radar
overcomplete dictionary
Radar imaging
Radar scattering
Reflectivity
sparsity
Synthetic aperture radar
Transmitters
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Abstract This paper presents a method for imaging of moving targets using multi-static radar by treating the problem as one of joint spatial reflectivity signal inversion with respect to an overcomplete dictionary of target velocities. Existing approaches to dealing with moving targets in SAR solve the nonlinear problem of target scattering and motion estimation typically through decoupled matched filtering. In contrast, by using an overcomplete dictionary approach we effectively linearize the forward model and solve the moving target problem as a larger, unified regularized inversion problem subject to sparsity constraints. This unified framework allows estimation of scatter motion and reflectivity to be done in an optimal and global way. We show examples of the potential of the new method for sensing configurations with transmitters and receivers randomly dispersed in a multi-static geometry within a narrow forward cone around the scene of interest.
AbstractList This paper presents a method for imaging of moving targets using multi-static radar by treating the problem as one of joint spatial reflectivity signal inversion with respect to an overcomplete dictionary of target velocities. Existing approaches to dealing with moving targets in SAR solve the nonlinear problem of target scattering and motion estimation typically through decoupled matched filtering. In contrast, by using an overcomplete dictionary approach we effectively linearize the forward model and solve the moving target problem as a larger, unified regularized inversion problem subject to sparsity constraints. This unified framework allows estimation of scatter motion and reflectivity to be done in an optimal and global way. We show examples of the potential of the new method for sensing configurations with transmitters and receivers randomly dispersed in a multi-static geometry within a narrow forward cone around the scene of interest.
Author Stojanovic, I.
Karl, W.C.
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  surname: Karl
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Snippet This paper presents a method for imaging of moving targets using multi-static radar by treating the problem as one of joint spatial reflectivity signal...
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SubjectTerms Dictionaries
Filtering
Geometry
Imaging
Inversions
Layout
Matched filters
Mathematical models
Motion estimation
Moving targets
multi-static radar
overcomplete dictionary
Radar imaging
Radar scattering
Reflectivity
sparsity
Synthetic aperture radar
Transmitters
Title Imaging of Moving Targets With Multi-Static SAR Using an Overcomplete Dictionary
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