Inverse synthetic aperture radar imaging based on sparse signal processing

被引:0
作者
Fei Zou
Xiang Li
Roberto Togneri
机构
[1] National University of Defense Technology,Institute of Space Electronic Technology
[2] The University of Western Australia,School of Electrical, Electronic and Computer Engineering
来源
Journal of Central South University | 2011年 / 18卷
关键词
ISAR imaging; sparse component analysis; target recognition; high resolution target image;
D O I
暂无
中图分类号
学科分类号
摘要
Based on the measurement model of inverse synthetic aperture radar (ISAR) within a small aspect sector, an imaging method was presented with the application of sparse signal processing. This method can form higher resolution inverse synthetic aperture radar images from compensating incomplete measured data, and improves the clarity of the images and makes the feature structure much more clear, which is helpful for target recognition. The simulation results indicate that this method can provide clear ISAR images with high contrast under complex motion case.
引用
收藏
页码:1609 / 1613
页数:4
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