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
相关论文
共 43 条
  • [1] An Extended Fast Factorized Back Projection Algorithm for Missile-Borne Bistatic Forward-Looking SAR Imaging
    Feng, Dong
    An, Daoxiang
    Huang, Xiaotao
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2018, 54 (06) : 2724 - 2734
  • [2] An improved back projection imaging algorithm for dechirped missile-borne SAR
    Chen Si
    Zhao Hui-Chang
    Zhang Shu-Ning
    Chen Yong
    [J]. ACTA PHYSICA SINICA, 2013, 62 (21)
  • [3] Imaging Algorithm of Missile-borne SAR in Diving and Squint Mode
    Wang, Zhen
    He, Xiaodong
    Tang, Bin
    [J]. PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND ELECTRONICS INFORMATION (ICACSEI 2013), 2013, 41 : 328 - 332
  • [4] Adaption of Fast Factorized Back-Projection to Automotive SAR Applications
    Farhadi, Masoud
    Feger, Reinhard
    Fink, Johannes
    Gonser, Markus
    Hasch, Juergen
    Stelzer, Andreas
    [J]. 2019 16TH EUROPEAN RADAR CONFERENCE (EURAD), 2019, : 261 - 264
  • [5] PROCESSING OF CIRCULAR SAR TRAJECTORIES WITH FAST FACTORIZED BACK-PROJECTION
    Ponce, Octavio
    Prats, Pau
    Rodriguez-Cassola, Marc
    Scheiber, Rolf
    Reigber, Andreas
    [J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 3692 - 3695
  • [6] Processing Missile-Borne SAR Data by Using Cartesian Factorized Back Projection Algorithm Integrated with Data-Driven Motion Compensation
    Bao, Min
    Zhou, Song
    Xing, Mengdao
    [J]. REMOTE SENSING, 2021, 13 (08)
  • [7] A Modified Fast Factorized Back-Projection Algorithm for Squint UWB-SAR Imaging
    Yang, Lei
    Zhou, Song
    Bi, Guoan
    [J]. 2015 IEEE 5TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2015, : 413 - 416
  • [8] A Fast Factorized Back-Projection Algorithm Based on Range Block Division for Stripmap SAR
    Wu, Yawei
    Li, Binbin
    Zhao, Bo
    Liu, Xiaojun
    [J]. ELECTRONICS, 2024, 13 (08)
  • [9] Spiral SAR Imaging with Fast Factorized Back-Projection: A Phase Error Analysis
    Goes, Juliana A.
    Castro, Valquiria
    Bins, Leonardo Sant'Anna
    Hernandez-Figueroa, Hugo E.
    [J]. SENSORS, 2021, 21 (15)
  • [10] A fast back-projection algorithm for bistatic SAR imaging
    Ding, Y
    Munson, DC
    [J]. 2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS, 2002, : 449 - 452