Analysis and optimization of distance measurement in MATLAB/SIMULINK model
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National Natural Science Foundation of China(61274043;61233010);Hunan Provincial Natural Science Fund for Distinguished Young Scholars (2015JJ1014)

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Analysis and optimization of distance measurement in MATLAB/SIMULINK model
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National Natural Science Foundation of China(61274043;61233010);Hunan Provincial Natural Science Fund for Distinguished Young Scholars (2015JJ1014)

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    摘要:

    Based on the basic principle of Time-Of-Flight cameras,a novel MATLAB/SIMULINK model is proposed to measure phase delay of a modulated light signal which represents the distance from camera to object. Subsequently,by discussing influence factors of phase measurement,it is found that the integration time,the sampling time,and the aliasing effect have important effect on improving the accuracy of phase measurement. Interestingly,by analyzing different integration time and sampling time, it is found that the best integration time and sampling time are 0.05 ms and 10 ns,respectively. In this case(i.e.,in absence of the aliasing effect),the variation range of the distance error is between 1 mm and 11 mm in the interval of one period. Especially,under the consideration of the aliasing effect,the average value of distance error is half of that in absence of the aliasing effect. This improves the accuracy of the distance measurement greatly.

    Abstract:

    Based on the basic principle of Time-Of-Flight cameras,a novel MATLAB/SIMULINK model is proposed to measure phase delay of a modulated light signal which represents the distance from camera to object. Subsequently,by discussing influence factors of phase measurement,it is found that the integration time,the sampling time,and the aliasing effect have important effect on improving the accuracy of phase measurement. Interestingly,by analyzing different integration time and sampling time, it is found that the best integration time and sampling time are 0.05 ms and 10 ns,respectively. In this case(i.e.,in absence of the aliasing effect),the variation range of the distance error is between 1 mm and 11 mm in the interval of one period. Especially,under the consideration of the aliasing effect,the average value of distance error is half of that in absence of the aliasing effect. This improves the accuracy of the distance measurement greatly.

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WANG Yin, JIN Xiangliang. Analysis and optimization of distance measurement in MATLAB/SIMULINK model[J].太赫兹科学与电子信息学报,2018,16(3):558~564

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  • 收稿日期:2016-12-21
  • 最后修改日期:2017-03-18
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  • 在线发布日期: 2018-07-03
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