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多点协同动态散斑的统计特性

车东博,王挺峰,张绍,韩越,李远洋

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车东博, 王挺峰, 张绍, 韩越, 李远洋. 多点协同动态散斑的统计特性[J]. , 2022, 15(2): 286-296. doi: 10.37188/CO.2021-0152
引用本文: 车东博, 王挺峰, 张绍, 韩越, 李远洋. 多点协同动态散斑的统计特性[J]. , 2022, 15(2): 286-296.doi:10.37188/CO.2021-0152
CHE Dong-bo, WANG Ting-feng, ZHANG Shao, HAN Yue, LI Yuan-yang. Statistical characteristics of multi-channel cooperative dynamic speckle metric[J]. Chinese Optics, 2022, 15(2): 286-296. doi: 10.37188/CO.2021-0152
Citation: CHE Dong-bo, WANG Ting-feng, ZHANG Shao, HAN Yue, LI Yuan-yang. Statistical characteristics of multi-channel cooperative dynamic speckle metric[J].Chinese Optics, 2022, 15(2): 286-296.doi:10.37188/CO.2021-0152

多点协同动态散斑的统计特性

doi:10.37188/CO.2021-0152
基金项目:国家自然科学基金(No. 61805234);中国科学院前沿科学重点研究计划(No. QYZDB-SSWSLH014)
详细信息
    作者简介:

    车东博(1995—),女,吉林永吉人,博士研究生,2017年于东北师范大学物理学院获得学士学位,主要从事 应用及光束控制方面的研究。E-mail:chedb839@163.com

    李远洋(1988—),男,吉林省长春人,博士,助理研究员,2016年于中科院长春光机所获博士学位,主要从事 光束控制技术、主被动探测技术的研究。E-mail:liyuanyang1108@163.com

  • 中图分类号:TN249;V261.8

Statistical characteristics of multi-channel cooperative dynamic speckle metric

Funds:Supported by National Natural Science Foundation of China (No. 61805234); Key Research Program of Frontier Science, CAS, China (No. QYZDB-SSWSLH014)
More Information
  • 摘要: 散斑被广泛应用于生物医学,成像探测以及无损检测等应用中,为了提升目标在环系统中基于散斑统计特性反馈远场 聚焦光斑质量的评价效率和精度。提出了多通道协同探测的方法获得回波散斑信号的时间空间融合评价因子,并对散斑场统计理论、多点协同探测系统模型和散斑时间与空间频谱融合统计特性展开深入研究。首先,利用单点探测器探测动态散斑的强度波动信号,对其进行滤波、自相关和傅立叶变换后获得散斑场的功率谱,再乘以权重获得散斑评价因子,探究该评价因子监视远场光斑的可行性。然后,提出对探测面不同空间位点获得的时间信号进行拼接的方法,并列举实现该方法的先决条件。最后,通过仿真与实验验证利用散斑场融合频谱获得评价因子的有效性。结果表明,动态散斑评价因子随目标光斑尺寸的增加而减小,当探测面上4通道协同获取的信号不相关时,评价因子取平均可使精度提高2倍,而时间空间融合频谱获得的评价因子可保证精度的同时使系统带宽提高4倍。综上所述,多点协同获取的散斑评价因子可以更快速的监视远距离运动目标的光斑变化。

  • 图 1散射点运动模型

    Figure 1.The model of the dynamic speckle

    图 2TIL系统的光学布局图。出射 复振幅A(r')通过均匀介质聚焦到目标靶面上,经粗糙表面散射后,回波由多个信号不相关的探测器接收。(a)目标粗糙表面直径为1.5 mm的聚焦光斑;(b)1.5 mm目标光斑对应的散斑光强;(c)目标粗糙表面直径为4 mm的聚焦光斑;(d)4 mm目标光斑对应的散斑光强。

    Figure 2.TIL wave propagation configurations. Transmitted wave with complex amplitudeA(r') propagates in an optically homogeneous medium toward a target, and after scattering off the target surface at the plane (r', z=L), the return wave propagates back to the multi-channel detectors. (a) Spot with a diameter of 1.5 mm focused on the target. (b) The speckle pattern corresponds to (a). (c) Spot with a diameter of 4 mm focused on the target, and (d) shows the speckle pattern corresponding to (c).

    图 3动态散斑强度波动归一化互相关函数仿真结果。(a)ρ=3 m;(b)ρ=6 m

    Figure 3.The simulation results of the dynamic speckles normalized cross-correlation function. (a)ρ=3 m; (b)ρ=6 m

    图 4根据点运动模型探测的动态散斑信号。(a)探测面一定孔径内的散斑强度波动信号;(b)目标光斑半径由0.2 mm逐步变为1.2 mm时,对应的散斑功率谱带宽逐渐缩短。

    Figure 4.The dynamic speckle signals according to the model of the movement of Scatters. (a) Speckle signal fluctuations. (b) The frequency bandwidth of the power spectra decreases as the target spot size changes from 0.2 mm to 1.2 mm

    图 5评价因子随目标光斑尺寸变化的仿真结果。目标光斑半径从0.2 mm变为1.2 mm,间隔为0.01 mm

    Figure 5.Simulation results of the speckle-metric varying with the target spot size from 0.2 mm to 1.2 mm, with an interval of 0.01 mm

    图 6(a)单通道获得的时间频谱和4通道获得的时间空间频谱。(b)四通道获得的归一化评价因子随目标光斑尺寸的变化

    Figure 6.(a) Temporal spectrum obtained by a single-channel, and the spatio-temporal spectrum obtained by a four-channel. (b) The normalized speckle-metric obtained by the four-channel varying with the target spot size

    图 7两个单点探测器采集 回波散斑的实验平台

    Figure 7.Experimental platform for collecting laser echo speckle with two single-point detectors

    图 8散斑强度频谱法实验结果,(a)和(b)中横坐标表示强度波动的频率,纵坐标为两个探测器获得的归一化时间频谱。(c)两个单点探测器获得的评价因子Jone实验结果,(d)对应两通道的实验结果取平均获得评价因子Jave和融合空间时间频谱的评价因子Jspt.

    Figure 8.Experimental results of the speckle spectroscopy method. The horizontal coordinates in (a) and (b) indicate the frequency of intensity fluctuations, and the vertical coordinates are the normalized temporal spectra obtained from the two detectors. (c) Results of the speckle-metricJoneobtained by two point detectors, and (d) shows the speckle-metrics obtained by averaging the two-channel results (Jave) and the spatial-temporal spectrum (Jspt).

    表 1拟合信息

    Table 1.Fitting results

    curve R2 RMSE
    Jone 0.9888 2.311
    Jave 0.9972 1.123
    Jspt 0.9949 2.909
    下载: 导出CSV
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出版历程
  • 收稿日期:2021-07-31
  • 修回日期:2021-08-31
  • 录用日期:2021-11-03
  • 网络出版日期:2021-11-03
  • 刊出日期:2022-03-21

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