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DMD红外场景产生器非均匀性校正方法研究

肖文健 许振领 周旋风

肖文健, 许振领, 周旋风. DMD红外场景产生器非均匀性校正方法研究[J]. 红外技术, 2021, 43(1): 21-25.
引用本文: 肖文健, 许振领, 周旋风. DMD红外场景产生器非均匀性校正方法研究[J]. 红外技术, 2021, 43(1): 21-25.
XIAO Wenjian, XU Zhenling, ZHOU Xuanfeng. Nonuniformity Correction of Infrared Scene Simulator Based on DMD[J]. INFRARED TECHNOLOGY, 2021, 43(1): 21-25.
Citation: XIAO Wenjian, XU Zhenling, ZHOU Xuanfeng. Nonuniformity Correction of Infrared Scene Simulator Based on DMD[J]. INFRARED TECHNOLOGY, 2021, 43(1): 21-25.

DMD红外场景产生器非均匀性校正方法研究

基金项目: 

国家自然科学基金 11904398

详细信息
    作者简介:

    肖文健(1989-),男,河北张家口人,博士,助理研究员,主要从事光电对抗方面的研究。E-mail:xiao_wen_jian@163.com

  • 中图分类号: TN216

Nonuniformity Correction of Infrared Scene Simulator Based on DMD

  • 摘要: 非均匀性是影响数字微镜器件(Digital Micro-mirror Device,DMD)红外场景产生器投射红外场景质量的主要因素之一,DMD红外场景产生器必须经过非均匀性校正才能满足复杂环境下红外成像设备内场仿真试验的应用要求。给出了DMD红外场景产生器的非均匀性校正流程;提出了一种更适合于现有测试条件的变尺度稀疏网格非均匀性测量方法;采用线性化和分段校正进行离线数据处理;采用“在线查表法”进行实时非均匀性校正。仿真结果表明:经过变尺度稀疏网格测试法及非均匀性实时校正算法,可将非均匀性降低至0.5%左右,显著提高了DMD红外场景产生器的红外场景仿真质量。
  • 图  1  稀疏网格测量示意图

    Figure  1.  Measurement diagram of sparse grid

    图  2  变尺度稀疏网格测量示意图

    Figure  2.  Measurement diagram of variable scale sparse grid

    图  3  线性化查找表生成原理图

    Figure  3.  The schematic of linearization LUT generation

    图  4  非均匀性校正查找表生成原理图

    Figure  4.  The schematic of correction LUT generation

    图  5  非均匀性实时校正流程图

    Figure  5.  The flow of NUC

    图  6  仿真DMD响应特征曲线

    Figure  6.  The response characteristic curve of simulated DMD

    表  1  不同分段点数非均匀性校正结果

    Table  1.   The NUC results about different segmentation points

    Number of segment points Residual non-uniformity
    3 8.52%
    6 4.42%
    9 0.52%
    12 0.49%
    下载: 导出CSV

    表  2  不同驱动占空比非均匀性校正结果

    Table  2.   The NUC results about different drive duty cycle

    Drive duty cycle Residual non-uniformity (before correction) Residual non-uniformity (after correction)
    10% 9.34% 0.42%
    20% 9.77% 0.41%
    30% 10.13% 0.45%
    40% 10.32% 0.43%
    50% 10.72% 0.52%
    60% 10.71% 0.51%
    70% 10.74% 0.52%
    80% 10.42% 0.47%
    90% 10.25% 0.43%
    100% 10.11% 0.44%
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-10-23
  • 修回日期:  2020-03-12
  • 刊出日期:  2021-01-20

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