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基于距离徙动修正的近程大斜视成像算法

尹凤琳 尚晓舟 李志平 苗俊刚

尹凤琳, 尚晓舟, 李志平, 等 . 基于距离徙动修正的近程大斜视成像算法[J]. 北京航空航天大学学报, 2018, 44(2): 399-405. doi: 10.13700/j.bh.1001-5965.2017.0112
引用本文: 尹凤琳, 尚晓舟, 李志平, 等 . 基于距离徙动修正的近程大斜视成像算法[J]. 北京航空航天大学学报, 2018, 44(2): 399-405. doi: 10.13700/j.bh.1001-5965.2017.0112
YIN Fenglin, SHANG Xiaozhou, LI Zhiping, et al. Short-range high squint imaging algorithm based on range migration modification[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(2): 399-405. doi: 10.13700/j.bh.1001-5965.2017.0112(in Chinese)
Citation: YIN Fenglin, SHANG Xiaozhou, LI Zhiping, et al. Short-range high squint imaging algorithm based on range migration modification[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(2): 399-405. doi: 10.13700/j.bh.1001-5965.2017.0112(in Chinese)

基于距离徙动修正的近程大斜视成像算法

doi: 10.13700/j.bh.1001-5965.2017.0112
基金项目: 

国家自然科学基金 61101003

国家自然科学基金 61671033

详细信息
    作者简介:

    尹凤琳  女, 硕士研究生。主要研究方向:雷达信号处理与雷达成像算法

    尚晓舟  男, 博士研究生。主要研究方向:雷达信号处理与雷达成像算法

    李志平  女, 博士研究生, 讲师。主要研究方向:雷达信号处理与雷达成像算法

    苗俊刚  男, 教授。主要研究方向:被动毫米波安检成像

    通讯作者:

    李志平, E-mail:zhiping_li@buaa.edu.cn

  • 中图分类号: V221+.3;TB553

Short-range high squint imaging algorithm based on range migration modification

Funds: 

National Natural Science Foundation of China 61101003

National Natural Science Foundation of China 61671033

More Information
  • 摘要:

    在近程大斜视成像中,当采用距离徙动(RM)算法进行处理时,信号谱在有限谱域范围内发生偏移,引起多次翻折造成混叠,使得通常处理方式不再适用。为此,提出一种解混叠方法恢复实际信号谱,通过斜视角或目标中心偏移量可计算出信号谱的翻折次数,依据翻折次数可将信号谱恢复至实际谱域位置,进而依照RM算法流程进行处理即可实现大斜视成像。该算法基于信号谱进行,未对距离方程进行近似处理,因此不仅适用于远场,同时可以解决近程大斜视成像问题。计算机仿真和实际实验测量结果显示,采用本文算法处理后可对成像范围内的目标实现精确聚焦。本文算法适用近程条件下阵列雷达或合成孔径雷达(SAR)的大斜视成像问题,可对较大斜视角情况实现精确聚焦。同时,本文算法的流程清晰,易于实际编程实现。

     

  • 图 1  仿真参数设计示意图

    Figure 1.  Schematic of simulation parameter design

    图 2  斜视场景下仿真参数设计示意图

    Figure 2.  Schematic of simulation parameter design in squint condition

    图 3  阵列中心与成像区域中心无偏和30°斜视角的频谱对比

    Figure 3.  Comparison of spectrum between no squint angle and with squint angle of 30°

    图 4  本文算法流程图

    Figure 4.  Flowchart of proposed algorithm

    图 5  仿真参数设置

    Figure 5.  Simulation parameter setting

    图 6  斜视角为40°时接收信号的频谱

    Figure 6.  Spectrum of received signal with squint angle of 40°

    图 7  谱域不同部分翻折次数

    Figure 7.  Warping and lapping times of differentparts of spectral domain

    图 8  还原后再经插值的信号频谱

    Figure 8.  Signal spectrum after restoration and interpolation

    图 9  仿真成像结果

    Figure 9.  Simulation imaging result

    图 10  实验测量场景

    Figure 10.  Experimental measurement scene

    图 11  实验测量成像结果

    Figure 11.  Actual measured imaging result

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出版历程
  • 收稿日期:  2017-03-02
  • 录用日期:  2017-04-07
  • 刊出日期:  2018-02-20

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