用于光学定位的近红外LED筛选检测系统设计
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摘要
光学定位技术在手术导航、目标追踪和虚拟现实等系统中都有广泛的应用,为了提高定位的精度,在信号测量和定位算法方面都进行了大量的研究。设计的系统从作为发光源的近红外LED出发,通过有针对性的筛选,为保证光学定位的准确性创造良好的条件。筛选检测系统由光学性能检测部分和高低温试验部分组成。通过控制转台中俯仰轴和滚动轴的转动角度,使用光电探测器可以连续测量出发光元件的辐射强度,得到近红外LED不同旋转面和不同纵向角度的辐射特性,并计算出半功率角值。根据发光强度和半功率角这两个重要指标,先去除待选组中有明显变化的极值数据,然后选取两个相对偏差都在±5%以内的近红外LED,最后对其进行高低温冲击试验。筛选出的近红外LED性能稳定,发光一致性好,可以成组使用。
Optical positioning technology has been widely used in surgical navigation, target tracking and virtual reality systems, in order to improve the accuracy of positioning, many research work has been done on signal measurement and localization algorithms. Using this system, the quality of the light source used for optical positioning was improved by screening near-infrared LED, and the good conditions were created for accurate positioning. The screening detection system consisted of an optical performance detecting section and a high and low temperature testing section. By controlling the rotation angles of the pitch axis and the rolling axis in the turntable, the radiation intensity of the light-emitting elements could be continuously measured by photodetector, the radiation data of near-infrared LED at different rotating faces and different longitudinal angles was obtained, and the half power angle value could be calculated.According to the two important indicators of luminous intensity and half power angle, first, the extremevalue data is removed from the selected group; and then two near-infrared LEDs with relative deviation within ±5% were selected; and finally the high-low temperature impact test was performed. The selected near-infrared LEDs have stable performance and good luminous consistency, and can be used in groups.
Optical positioning technology has been widely used in surgical navigation, target tracking and virtual reality systems, in order to improve the accuracy of positioning, many research work has been done on signal measurement and localization algorithms. Using this system, the quality of the light source used for optical positioning was improved by screening near-infrared LED, and the good conditions were created for accurate positioning. The screening detection system consisted of an optical performance detecting section and a high and low temperature testing section. By controlling the rotation angles of the pitch axis and the rolling axis in the turntable, the radiation intensity of the light-emitting elements could be continuously measured by photodetector, the radiation data of near-infrared LED at different rotating faces and different longitudinal angles was obtained, and the half power angle value could be calculated.According to the two important indicators of luminous intensity and half power angle, first, the extremevalue data is removed from the selected group; and then two near-infrared LEDs with relative deviation within ±5% were selected; and finally the high-low temperature impact test was performed. The selected near-infrared LEDs have stable performance and good luminous consistency, and can be used in groups.
引文
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[2]Ye Zhao,Ren Jianwei,Li Xiansheng,et al.Screening device for LED as spaceborne calibration light source[J].Optics and Precision Engineering,2012,20(1):64-71.(in Chinese)
[3]Wu Jiabin,Chen Yunshan,Gao Shijie,et al.High precision spot position detection model for the near infrared light[J].Infrared and Laser Engineering,2016,45(7):0717001.(in Chinese)
[4]Xiu Jingrui,Hu Siyi,Li Jinhua,et al.Construction and application of FRET biological probe based on near infrared InP/ZnS quantum dots[J].Chinese Optics,2018,11(1):74-82.(in Chinese)
[5]Huang Liqiong,Zhou Liyong,Shang Tingting.Integration tracking techniques of Helmet based on image and inertia[J].Fire Control&Command Control,2017,42(8):179-182.(in Chinese)
[6]Chen Guodong,Jia Peifa,Wang Rongjun.Space registration and practice of a brain surgery robot based on optical localization[J].Chinese Journal of Scientific Instrument,2007,28(3):499-503.(in Chinese)
[7]Tang Yong,Gu Hongbin,Zhang Congzhe.High accurate optical head pose tracker system[J].Optics and Precision Engineering,2013,21(2):488-495.(in Chinese)
[8]Xing Xiaoxue,Wang Xianwei,Qin Hongwu,et al.CH4detection based on near-infrared luminescence of PbSe quantum dots[J].Chinese Optics,2018,11(4):662-668.(in Chinese)
[9]Li Bo,Xu Xiaoting,Zheng Xueqing.Study on fat measurement by near infrared spectroscopy[J].Infrared and Laser Engineering,2018,47(S1):S104003.
[10]Chen Yong,Shen Qixiang,Liu Huanlin.Optimization algorithm of receiver optical power uniformity in indoor visible light communication[J].Chinese Journal of Lasers,2018,45(5):0506003.(in Chinese)
[11]Chen Hang,Zhang Yuexia.Research on VLC hybrid indoor location algorithm based on LED SAHP[J].Measurement&Control Technology,2017,36(10):7-10.(in Chinese)
[12]Zhao Weiqiang,Liu Hui,Liu Jian.Study on nonlinearity coefficient measurement for optical detector using infrared LED[J].Acta Optica Sinica,2015,35(9):0912002.(in Chinese)
[13]Wang Qilong,Li Yupei,Zhai Yusheng,et al.The progress of surface plasmon enhanced near-infrared photodetector based on metal/Si Schottky heterojunction[J/OL].Infrared and Laser Engineering(2018-10-31).http://kns.cnki.net/kcms/detail/12.1261.TN.20181029.1018.058.html.(in Chinese)
[14]Xing Yanqiu.Optimization design and test of the main structure of a mini-optical device in space[J].Infrared and Laser Engineering,2018,47(11):1113002.(in Chinese)