Novel autofocusing algorithm for ISAR imaging based on sparse constraint

被引：0
|
作者：
机构：
[1] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
来源：
Xu, G. (xugang0102@126.com) | 1772年 / Chinese Institute of Electronics卷 / 41期
关键词：
Autofocusing; Inversed synthetic aperture radar (ISAR); Sparse aperture; Sparse constraint;
D O I：
10.3969/j.issn.0372-2112.2013.09.016
中图分类号：
学科分类号：
摘要：
In this paper, a novel autofocusing algorithm of inversed synthetic aperture radar (ISAR) imaging based on sparse constraint is proposed, which can be applied in sparse aperture ISAR imaging. In the scheme, taking the phase errors as model errors, the proposed approach exploits the sparsity prior of ISAR image to construct the minimum 1-norm image formation. Then numerical method is adopted to realize adaptive phase error estimation while well-focused ISAR image can finally be obtained. Meanwhile, the objective function of ISAR imaging is established based on matrix model, which can be conveniently solved using fast Fourier transform (FFT) and matrix Hardmard multiplication. Due to the utilization of sparsity restriction, the proposed approach can still be capable of performing well even in the case of low signal-to-noise ratio (SNR). The experimental results using both simulated data and measured data confirm the validation of the proposal.
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页码：1772 / 1777
页数：5
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