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基于Keystone變換和擾動重采樣的機(jī)動平臺大斜視SAR成像方法

李根,  馬彥恒,  侯建強(qiáng),  徐公國

李根, 馬彥恒, 侯建強(qiáng), 徐公國. 基于Keystone變換和擾動重采樣的機(jī)動平臺大斜視SAR成像方法[J]. 電子與信息學(xué)報, 2020, 42(10): 2485-2492. doi: 10.11999/JEIT190831
引用本文: 李根, 馬彥恒, 侯建強(qiáng), 徐公國. 基于Keystone變換和擾動重采樣的機(jī)動平臺大斜視SAR成像方法[J]. 電子與信息學(xué)報, 2020, 42(10): 2485-2492. doi: 10.11999/JEIT190831
Gen LI, Yanheng MA, Jianqiang HOU, Gongguo XU. Maneuvering Platform High-squint SAR Imaging Method Based on Keystone Transform and Perturbation Resampling[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2485-2492. doi: 10.11999/JEIT190831
Citation: Gen LI, Yanheng MA, Jianqiang HOU, Gongguo XU. Maneuvering Platform High-squint SAR Imaging Method Based on Keystone Transform and Perturbation Resampling[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2485-2492. doi: 10.11999/JEIT190831

基于Keystone變換和擾動重采樣的機(jī)動平臺大斜視SAR成像方法

doi: 10.11999/JEIT190831
  • 1.

    陸軍工程大學(xué)石家莊校區(qū)無人機(jī)工程系 石家莊 050003

  • 2.

    陸軍工程大學(xué)石家莊校區(qū)電子與光學(xué)工程系 石家莊 050003

詳細(xì)信息
    作者簡介:

    李根：男，1991年生，博士生，主要從事機(jī)動平臺大斜視SAR成像和壓縮感知雷達(dá)成像研究

    馬彥恒：男，1968年生，教授，博士生導(dǎo)師，主要從事機(jī)動SAR成像、低小慢目標(biāo)探測等方向的研究

    侯建強(qiáng)：男，1991年生，博士生，主要從事曲線SAR 3維成像研究

    徐公國：男，1990年生，博士生，主要從事雷達(dá)信號處理與傳感器融合研究

    通訊作者:

    李根　radarlg@163.com

  • 中圖分類號: TN957.52

Maneuvering Platform High-squint SAR Imaging Method Based on Keystone Transform and Perturbation Resampling

  • 1.

    Department of UAV Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China

  • 2.

    Department of Electronic and Optical Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China

  • 摘要: 加速度和下降速度的存在使機(jī)動平臺大斜視SAR的成像參數(shù)存在明顯的2維空變性，嚴(yán)重影響場景的聚焦深度。針對這個問題，該文提出了一種基于Keystone變換和擾動重采樣的機(jī)動SAR成像方法。首先，通過距離走動校正和去加速處理實現(xiàn)距離方位解耦以及方位頻譜去混疊，然后采用方位時域的Keystone變換校正空變的距離徙動；在方位壓縮過程中，通過引入時域的高階擾動因子去除多普勒參數(shù)的2階及3階方位空變性，然后通過方位頻域的重采樣處理去除多普勒參數(shù)的方位1階空變性。所提方法能夠有效校正距離徙動軌跡和方位聚焦參數(shù)的2維空變性，實現(xiàn)機(jī)動平臺大斜SAR的大場景成像，仿真分析驗證了所提方法的有效性。
    Abstract: The existence of acceleration and descent velocity makes the imaging parameters of high-squint SAR mounted on maneuvering platform have obvious two-dimensional spatial variability, which affects seriously the focus depth of the scene. To solve this problem, a maneuvering SAR imaging method based on Keystone transform and azimuth perturbation resampling is proposed. First of all, the range azimuth decoupling and the azimuth spectrum de Aliasing are realized by the range walk correction and de-acceleration processing. Then the spatial-variant range cell migration is corrected by the Keystone transform in the azimuth time domain; In the process of azimuth compression, the second- and third-order spatial variabilities of Doppler parameters are removed by introducing the high-order perturbation factor in the time domain, and then the first-order spatial variability of the Doppler parameters is removed by the azimuth resampling processing in the azimuth frequency domain. The proposed method can effectively correct the two-dimensional spatial variability of range cell migration trajectory and azimuth focus parameters, and realize the large scene imaging of high-squint maneuvering SAR. Simulation analysis verifies the effectiveness of the proposed method.
    • HTML全文

  • 圖  1  機(jī)動平臺大斜視SAR成像模型

    圖  2  成像算法流程

    圖  3  有效成像區(qū)域分析

    圖  4  機(jī)動SAR成像目標(biāo)分布示意圖

    圖  5  空變距離徙動校正結(jié)果

    圖  6  點目標(biāo)聚焦結(jié)果方位剖面圖

    表  1  仿真參數(shù)

    參數(shù)數(shù)值參數(shù)數(shù)值
    載頻15 GHz地面斜視角60°
    距離帶寬300 MHz平臺高度4 km
    合成孔徑時間3 s中心斜距12 km
    脈沖寬度5 μs速度(150, 0, –30) m/s
    脈沖重復(fù)頻率1.5 kHz加速度(2.4, 0.8, –2.2) m/s2
    下載: 導(dǎo)出CSV

    表  2  點目標(biāo)方位向測量指標(biāo)

    測量指標(biāo)FDPF方法[13]本文擾動重采樣方法
    點1點2點3點1點2點3
    PSLR(dB)–3.98–13.26–4.78–12.68–13.27–13.39
    ISLR(dB)–7.11–9.83–6.78–9.37–9.81–10.28
    MW20.6715.6028.3515.6215.6115.62
    下載: 導(dǎo)出CSV
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    LI Ning, BIE Bowen, XING Mengdao, et al. A doppler resampling based imaging algorithm for high squint SAR with constant acceleration[J]. Journal of Electronics &Information Technology, 2019, 41(12): 2873–2880. doi: 10.11999/JEIT180953
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    DENG Huan, LI Yachao, MEI Haiwen, et al. New back-filtering PFA imaging algorithm and distortion correction method for missile-borne bistatic SAR with curved track[J]. Journal of Electronics &Information Technology, 2018, 40(11): 2638–2644. doi: 10.11999/JEIT170994
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出版歷程
  • 收稿日期:  2019-10-28
  • 修回日期:  2020-05-29
  • 網(wǎng)絡(luò)出版日期:  2020-06-04
  • 刊出日期:  2020-10-13

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