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多通道高分辨率寬測繪帶SAR系統(tǒng)雜波抑制技術(shù)研究

侯麗麗,  鄭明潔,  宋紅軍,  祁麗娟

侯麗麗, 鄭明潔, 宋紅軍, 祁麗娟. 多通道高分辨率寬測繪帶SAR系統(tǒng)雜波抑制技術(shù)研究[J]. 電子與信息學報, 2016, 38(3): 635-642. doi: 10.11999/JEIT150659
引用本文: 侯麗麗, 鄭明潔, 宋紅軍, 祁麗娟. 多通道高分辨率寬測繪帶SAR系統(tǒng)雜波抑制技術(shù)研究[J]. 電子與信息學報, 2016, 38(3): 635-642. doi: 10.11999/JEIT150659
HOU Lili, ZHENG Mingjie, SONG Hongjun, QI Lijuan. Research on Clutter Suppression for Multichannel High-resolution Wide-swath SAR System[J]. Journal of Electronics & Information Technology, 2016, 38(3): 635-642. doi: 10.11999/JEIT150659
Citation: HOU Lili, ZHENG Mingjie, SONG Hongjun, QI Lijuan. Research on Clutter Suppression for Multichannel High-resolution Wide-swath SAR System[J]. Journal of Electronics & Information Technology, 2016, 38(3): 635-642. doi: 10.11999/JEIT150659

多通道高分辨率寬測繪帶SAR系統(tǒng)雜波抑制技術(shù)研究

doi: 10.11999/JEIT150659 cstr: 32379.14.JEIT150659
  • 2.

    (中國科學院電子學研究所 北京 100190) ②(中國科學院大學 北京 100190)

基金項目: 

國家自然科學基金面上項目(61372185)

Research on Clutter Suppression for Multichannel High-resolution Wide-swath SAR System

  • 1.

    HOU Lili①② ZHENG Mingjie① SONG Hongjun① QI Lijuan

Funds: 

The National Natural Science Foundation of China (61372185)

  • 摘要: 對于多通道高分辨率寬測繪帶合成孔徑雷達(HRWS SAR)，為了實現(xiàn)高分辨寬覆蓋測繪能力，每個子孔徑的回波信號均存在多普勒模糊，因此現(xiàn)有的雜波抑制方法不能有效的抑制雜波。針對這一問題，該文提出一種新的雜波抑制方法，并給出了對應的雙門限CFAR檢測方案。首先，借鑒數(shù)字波束形成(DBF)解多普勒模糊的思想，提出將自適應DBF技術(shù)應用于雜波抑制。然后，分析其存在的問題，并給出改進方案。改進方案可以降低雜波抑制所需要的自由度(DOFs)，解決運算量與估計精度之間的矛盾問題。最后，仿真結(jié)果驗證了該文方法的有效性。
    Abstract: For multichannel High-Resolution Wide-Swath SAR (HRWS SAR), to achieve high resolution wide cover mapping ability, the echoes of each channel suffer Doppler ambiguity, thus current clutter suppression approaches may not perform well. To solve the problem, this paper proposes a novel clutter suppression approach, and the corresponding double threshold CFAR detection scheme is given. First, inspired by the idea of solution for Doppler ambiguity based on Digital Beam Forming (DBF), adaptive DBF is applied to clutter suppression. Then, the existing problems are analyzed and the improved approach, which can reduce the Degree of Freedom (DOFs) and settle the problem between computation load and estimation accuracy, is given. At last, the effectiveness of the proposed approach is demonstrated by the simulated results.
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出版歷程
  • 收稿日期:  2015-06-02
  • 修回日期:  2015-11-23
  • 刊出日期:  2016-03-19

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