A New Fast Factorized Back-Projection Algorithm with Reduced Topography Sensibility for Missile-Borne SAR Focusing with Diving Movement

被引:13
|
作者
Li, Xinrui [1 ]
Zhou, Song [1 ,3 ]
Yang, Lei [2 ]
机构
[1] Nanchang Univ, Sch Elect Informat & Engn, Nanchang 330031, Jiangxi, Peoples R China
[2] Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Tianjin 300300, Peoples R China
[3] 999 Xuefu Rd, Nanchang 330031, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
orthogonal cylindrical coordinate (OCC); topography; missile borne; diving movement; fast factorized back-projection (FFBP); synthetic aperture radar (SAR); AUTOFOCUS;
D O I
10.3390/rs12162616
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Time-domain algorithms have significant performance advantages for missile-borne synthetic aperture radar (SAR) focusing with diving movement. However, due to the diving curve trajectory of the missile platform, the range and angular histories of the target become very sensitive to unknown tomography, which provides difficulties for SAR algorithm development. To address this problem, we have proposed a new fast factorized back-projection (FFBP) algorithm with reduced topography sensibility for missile-borne SAR focusing. The new algorithm was designed based on an orthogonal cylindrical coordinate (OCC) system, in which the cross section of a cylinder in the coordinate system is approximately orthogonal to the diving curve trajectory. Owing to the acquisition symmetry of the OCC system, the range and the angular histories of the grid in the OCC geometry become less dependent of the topography in every recursion of FFBP implementation, which can dramatically reduce the adverse effects of unknown topography and achieve high focusing performance. In the simulation, echo signal based on a set of typical parameters from a missile-borne SAR system is generated with unknown tomography. Promising results with 1 m resolution are finally achieved, which demonstrates the performance of the proposed algorithm. The limitation of the algorithm is also discussed in the final part, which will facilitate the development of raw data processes in practical application.
引用
收藏
页数:18
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