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Autofocus technique for ISAR imaging of uniformly rotating targets based on the ExCoV method
被引量：
1
1
作者
chengguang wu
Hongqiang Wang
+2 位作者
Bin Deng
Yuliang Qin
wu
ge Su
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2017年第2期267-275,共9页
The inverse synthetic aperture radar (ISAR) imaging can be converted into a sparse reconstruction problem and solved by the l1norm minimization algorithm. The basis matrix in sparse ISAR imaging is usually characteriz...
The inverse synthetic aperture radar (ISAR) imaging can be converted into a sparse reconstruction problem and solved by the l1norm minimization algorithm. The basis matrix in sparse ISAR imaging is usually characterized by the unknown rotation rate of a moving target, thus the rotation rate and the sparse signal should be jointly estimated. Especially due to the imperfect coarse motion compensation, we consider the phase error correction problem in the context of the sparse signal reconstruction. To address this issue, we propose an iterative reweighted method, which jointly estimates the rotation rate, corrects the phase error and reconstructs a high resolution ISAR image. The proposed method gives a gradual and interweaved iterative process to refine the unknown parameters to achieve the best sparse representation for the ISAR signals. Particularly, in ISAR image reconstruction, the l1norm minimization algorithm is sensitive to user parameters. Setting these user parameters are not trivial and the reconstruction performance depends significantly on their choices. Then, we consider an expansion-compression variance-component (ExCoV) based method, which is automatic and demands no prior knowledge about signal-sparsity or measurement-noise levels. Both numerical and electromagnetic data experiments are implemented to show the effectiveness of the proposed method. It is shown that the proposed method can estimate the rotation rate and correct the phase errors simultaneously, and its superior performance is proved in terms of high resolution ISAR image. © 2017 Beijing Institute of Aerospace Information.
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关键词
Error
compensation
Error
correction
Errors
Image
processing
Image
reconstruction
Inverse
problems
Inverse
synthetic
aperture
radar
Iterative
methods
Motion
compensation
Numerical
methods
Rotation
Signal
reconstruction
Synthetic
aperture
radar
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题名
Autofocus technique for ISAR imaging of uniformly rotating targets based on the ExCoV method
被引量：
1
1
作者
chengguang wu
Hongqiang Wang
Bin Deng
Yuliang Qin
wu
ge Su
机构
Institute of Space Electronic Technology
出处
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2017年第2期267-275,共9页
基金
supported by the National Natural Science Foundation(61302148)
文摘
The inverse synthetic aperture radar (ISAR) imaging can be converted into a sparse reconstruction problem and solved by the l1norm minimization algorithm. The basis matrix in sparse ISAR imaging is usually characterized by the unknown rotation rate of a moving target, thus the rotation rate and the sparse signal should be jointly estimated. Especially due to the imperfect coarse motion compensation, we consider the phase error correction problem in the context of the sparse signal reconstruction. To address this issue, we propose an iterative reweighted method, which jointly estimates the rotation rate, corrects the phase error and reconstructs a high resolution ISAR image. The proposed method gives a gradual and interweaved iterative process to refine the unknown parameters to achieve the best sparse representation for the ISAR signals. Particularly, in ISAR image reconstruction, the l1norm minimization algorithm is sensitive to user parameters. Setting these user parameters are not trivial and the reconstruction performance depends significantly on their choices. Then, we consider an expansion-compression variance-component (ExCoV) based method, which is automatic and demands no prior knowledge about signal-sparsity or measurement-noise levels. Both numerical and electromagnetic data experiments are implemented to show the effectiveness of the proposed method. It is shown that the proposed method can estimate the rotation rate and correct the phase errors simultaneously, and its superior performance is proved in terms of high resolution ISAR image. © 2017 Beijing Institute of Aerospace Information.
关键词
Error
compensation
Error
correction
Errors
Image
processing
Image
reconstruction
Inverse
problems
Inverse
synthetic
aperture
radar
Iterative
methods
Motion
compensation
Numerical
methods
Rotation
Signal
reconstruction
Synthetic
aperture
radar
Keywords
Error compensation
Error correction
Errors
Image processing
Image reconstruction
Inverse problems
Inverse synthetic aperture radar
Iterative methods
Motion compensation
Numerical methods
Rotation
Signal reconstruction
Synthetic aperture radar
分类号
TN957.52 [电子电信—信号与信息处理]
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1
Autofocus technique for ISAR imaging of uniformly rotating targets based on the ExCoV method
chengguang wu
Hongqiang Wang
Bin Deng
Yuliang Qin
wu
ge Su
《Journal of Systems Engineering and Electronics》
SCIE
EI
CSCD
2017
1
在线阅读
下载PDF
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