Volume 13 Issue 1
Feb.  2024
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XIA Deping, ZHANG Liang, WU Tao, et al. A multiple interference suppression algorithm based on airborne bistatic polarization radar[J]. Journal of Radars, 2022, 11(3): 399–407. doi: 10.12000/JR21212
Citation: XING Mengdao, MA Penghui, LOU Yishan, et al. Review of fast back projection algorithms in synthetic aperture radar[J]. Journal of Radars, 2024, 13(1): 1–22. doi: 10.12000/JR23183
shu

Review of Fast Back Projection Algorithms in Synthetic Aperture Radar

DOI: 10.12000/JR23183
  • 1.

    National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

  • 2.

    Academy of Advanced Interdisciplinary Research, XidianUniversity, Xi’an 710071, China

Funds:  The National Natural Science Fundation of China (62271375), The Fundamental Research Funds for the Central Universities (20199234731), The stabilization support of National Radar Signal Processing Laboratory (KGJ202201)
More Information
  • Corresponding author: XING Mengdao, xmd@xidian.edu.cn
  • Received Date: 2023-10-04
  • Rev Recd Date: 2023-12-15
    • Available Online: 2023-12-20
  • Publish Date: 2024-01-05
    Abstract
  • 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.

     

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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 17.8 %其他: 17.8 %其他: 0.3 %其他: 0.3 %Absecon: 0.3 %Absecon: 0.3 %China: 0.7 %China: 0.7 %India: 0.1 %India: 0.1 %Matawan: 0.0 %Matawan: 0.0 %Rochester: 0.0 %Rochester: 0.0 %United States: 0.1 %United States: 0.1 %[]: 0.5 %[]: 0.5 %上海: 1.1 %上海: 1.1 %上海市: 0.0 %上海市: 0.0 %东莞: 0.0 %东莞: 0.0 %中卫: 0.4 %中卫: 0.4 %丽水: 0.1 %丽水: 0.1 %乌鲁木齐: 0.1 %乌鲁木齐: 0.1 %佛山: 0.0 %佛山: 0.0 %信阳: 0.0 %信阳: 0.0 %兰辛: 0.0 %兰辛: 0.0 %包头: 0.0 %包头: 0.0 %北京: 20.3 %北京: 20.3 %北京市: 0.2 %北京市: 0.2 %北海: 0.1 %北海: 0.1 %南京: 0.9 %南京: 0.9 %南京市: 0.0 %南京市: 0.0 %南宁: 0.1 %南宁: 0.1 %南昌: 0.6 %南昌: 0.6 %台北: 0.0 %台北: 0.0 %台州: 0.3 %台州: 0.3 %合肥: 0.2 %合肥: 0.2 %吕梁: 0.0 %吕梁: 0.0 %吴忠: 0.0 %吴忠: 0.0 %呼和浩特: 0.4 %呼和浩特: 0.4 %和田: 0.0 %和田: 0.0 %唐山: 0.2 %唐山: 0.2 %夏尔迦: 0.1 %夏尔迦: 0.1 %大连: 0.1 %大连: 0.1 %天津: 0.4 %天津: 0.4 %太原: 0.5 %太原: 0.5 %威海: 0.3 %威海: 0.3 %娄底: 0.0 %娄底: 0.0 %安康: 0.1 %安康: 0.1 %宣城: 0.1 %宣城: 0.1 %宿迁: 0.3 %宿迁: 0.3 %岳阳: 0.0 %岳阳: 0.0 %崇左: 0.1 %崇左: 0.1 %巴中: 0.1 %巴中: 0.1 %巴彦淖尔: 0.0 %巴彦淖尔: 0.0 %常州: 0.0 %常州: 0.0 %常德市: 0.0 %常德市: 0.0 %平顶山: 0.0 %平顶山: 0.0 %平顶山市叶县: 0.0 %平顶山市叶县: 0.0 %广州: 0.5 %广州: 0.5 %广州市天河区: 0.1 %广州市天河区: 0.1 %廊坊: 0.0 %廊坊: 0.0 %张家口: 0.6 %张家口: 0.6 %张家口市: 0.0 %张家口市: 0.0 %惠州: 0.0 %惠州: 0.0 %成都: 0.9 %成都: 0.9 %成都市新都区: 0.0 %成都市新都区: 0.0 %扬州: 0.1 %扬州: 0.1 %新乡: 0.3 %新乡: 0.3 %无锡: 0.1 %无锡: 0.1 %昆明: 0.4 %昆明: 0.4 %曼谷: 0.0 %曼谷: 0.0 %杭州: 1.7 %杭州: 1.7 %株洲: 0.0 %株洲: 0.0 %格兰特县: 0.1 %格兰特县: 0.1 %桂林: 0.0 %桂林: 0.0 %榆林: 0.0 %榆林: 0.0 %武汉: 1.0 %武汉: 1.0 %沈阳: 0.2 %沈阳: 0.2 %洛阳: 0.2 %洛阳: 0.2 %济南: 0.1 %济南: 0.1 %海西: 0.0 %海西: 0.0 %淮南: 0.1 %淮南: 0.1 %淮安: 0.0 %淮安: 0.0 %深圳: 0.5 %深圳: 0.5 %温州: 0.1 %温州: 0.1 %渭南: 0.1 %渭南: 0.1 %湖州: 0.1 %湖州: 0.1 %湘潭: 0.1 %湘潭: 0.1 %漯河: 0.3 %漯河: 0.3 %潍坊: 0.0 %潍坊: 0.0 %玉林: 0.1 %玉林: 0.1 %珠海: 0.1 %珠海: 0.1 %白银: 0.1 %白银: 0.1 %石家庄: 0.4 %石家庄: 0.4 %福州: 0.0 %福州: 0.0 %秦皇岛: 0.1 %秦皇岛: 0.1 %红河: 0.1 %红河: 0.1 %纽约: 0.2 %纽约: 0.2 %绵阳: 0.2 %绵阳: 0.2 %芒廷维尤: 10.5 %芒廷维尤: 10.5 %芝加哥: 0.6 %芝加哥: 0.6 %苏州: 0.0 %苏州: 0.0 %蚌埠: 0.0 %蚌埠: 0.0 %衡水: 0.2 %衡水: 0.2 %衢州: 0.1 %衢州: 0.1 %西宁: 27.3 %西宁: 27.3 %西安: 0.5 %西安: 0.5 %贵港: 0.1 %贵港: 0.1 %赤峰: 0.0 %赤峰: 0.0 %运城: 0.1 %运城: 0.1 %郑州: 1.4 %郑州: 1.4 %重庆: 0.0 %重庆: 0.0 %金华: 0.1 %金华: 0.1 %长沙: 0.5 %长沙: 0.5 %阜阳: 0.0 %阜阳: 0.0 %阳泉: 0.1 %阳泉: 0.1 %青岛: 0.8 %青岛: 0.8 %黔南: 0.0 %黔南: 0.0 %齐齐哈尔: 0.4 %齐齐哈尔: 0.4 %其他其他AbseconChinaIndiaMatawanRochesterUnited States[]上海上海市东莞中卫丽水乌鲁木齐佛山信阳兰辛包头北京北京市北海南京南京市南宁南昌台北台州合肥吕梁吴忠呼和浩特和田唐山夏尔迦大连天津太原威海娄底安康宣城宿迁岳阳崇左巴中巴彦淖尔常州常德市平顶山平顶山市叶县广州广州市天河区廊坊张家口张家口市惠州成都成都市新都区扬州新乡无锡昆明曼谷杭州株洲格兰特县桂林榆林武汉沈阳洛阳济南海西淮南淮安深圳温州渭南湖州湘潭漯河潍坊玉林珠海白银石家庄福州秦皇岛红河纽约绵阳芒廷维尤芝加哥苏州蚌埠衡水衢州西宁西安贵港赤峰运城郑州重庆金华长沙阜阳阳泉青岛黔南齐齐哈尔

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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