3D reconstruction of resident space objects using radar interferometry and nonuniform fast Fourier transform from sparse data

被引：0
|
作者：
Rudrappa, Manjunath Thindlu [1 ]
Hoffmann, Rudolf [1 ]
Albrecht, Marcus [1 ]
Knott, Peter [1 ]
机构：
[1] Fraunhofer Inst High Frequency Phys & Radar Tech, Wachtberg, Germany
来源：
2022 23RD INTERNATIONAL RADAR SYMPOSIUM (IRS) | 2022年
关键词：
Radar signal processing; Inverse synthetic aperture radar; Radar imaging; Radar remote sensing; Feature extraction; ISAR;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, 3D reconstruction of resident space objects (RSO) in orbit using a radar network with one transmitter and three receivers is studied. The interferometric phase for 3D reconstruction is extracted by the nonuniform fast Fourier transform (NUFFT) using sparse data at three receivers. The performance of the time frequency representation reconstructed from sparse data and the effect of data sparsity positions at three receivers in size, shape, rotation rate and Doppler estimation is illustrated.
引用
收藏
页码：437 / 442
页数：6
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