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合成孔径雷达快速后向投影算法综述

Review of Fast Back Projection Algorithms in Synthetic Aperture Radar
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摘要 后向投影(BP)算法是合成孔径雷达成像算法发展的重要方向之一。然而,由于BP算法具有较大的计算量,阻碍了其在工程应用上的发展。因此,近年来如何有效地提高BP算法的运算效率受到了广泛的重视。该文讨论了基于多种成像面坐标系的快速BP算法,包括距离-方位平面坐标系、地平面坐标系和非欧氏坐标系。该文首先简要介绍了原始BP算法的原理和不同坐标系对加速BP算法的影响,并对BP算法的发展历程进行梳理。然后讨论了基于不同成像面坐标系的快速BP算法的研究进展,并重点介绍了作者所在研究团队近年来在快速BP成像方面完成的研究工作。最后介绍了快速BP算法在工程上的应用,并展望了未来快速BP成像算法的研究发展趋势。 The Back Projection(BP)algorithm is an important direction in the development of synthetic aperture radar imaging algorithms.However,the large computational load of the BP algorithm has hindered its development in engineering applications.Therefore,techniques to enhance the computational efficiency of the BP algorithm have recently received widespread attention.This paper discusses the fast BP algorithm based on various imaging plane coordinate systems,including the distance-azimuth plane coordinate system,the ground plane coordinate system,and the non-Euclidean coordinate system.First,the principle of the original BP algorithm and the impact of different coordinate systems on accelerating the BP algorithm are introduced,and the development history of the BP algorithm is sorted out.Then,the research progress of the fast BP algorithm based on different imaging plane coordinate systems is examined,focusing on the recent research work completed by the author’s research team.Finally,the application of fast BP algorithm in engineering is introduced,and the research development trend of the fast BP imaging algorithm is discussed.
作者 邢孟道 马鹏辉 楼屹杉 孙光才 林浩 XING Mengdao;MA Penghui;LOU Yishan;SUN Guangcai;LIN Hao(National Key Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China;Academy of Advanced Interdisciplinary Research,XidianUniversity,Xi’an 710071,China)
出处 《雷达学报(中英文)》 EI CSCD 北大核心 2024年第1期1-22,共22页 Journal of Radars
基金 国家自然科学基金(62271375) 中央高校基本科研业务费专项(20199234731) 雷达信号处理全国重点实验室支持计划项目(KGJ202201)。
关键词 合成孔径雷达 快速后向投影算法 成像面 坐标系 运算效率 Synthetic Aperture Radar(SAR) Fast back projection algorithm Imaging plane Coordinate system Computational efficiency
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