一种基于高斯分布的光子传输模型建模方法

doi:10.3969/j.issn.0372-2112.2012.10.028

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电子学报 ›› 2012, Vol. 40 ›› Issue (10) : 2073-2078. DOI: 10.3969/j.issn.0372-2112.2012.10.028

学术论文

一种基于高斯分布的光子传输模型建模方法

贾延玺, 姜守达

作者信息 +

A Photon Transport Modeling Approach Based on Gaussian Distribution

JIA Yan-xi, JIANG Shou-da

Author information +

文章历史 +

摘要

虚拟模型与真实设备混合的仿真实验系统对虚拟模型提出了明确的实时性要求.现有的光子传输模型运行时间较长,不适用于对实时性要求较高的仿真实验系统.本文针对此问题,利用光子的群体特性来描述光子在多层平板型介质中的传输过程,采用高斯分布描述接收平面的光子,通过总光子数量和63.2%能量半径的计算结果得到接收平面的光子分布.实验结果表明,在相同的仿真条件下,本文方法与标准Monte Carlo光子传输模型相比变化趋势和数值基本吻合,而运行速度提高,可满足一般仿真实验系统的实时性要求.

Abstract

The mixture simulation system of virtual model and real equipment requests for clear real-time characteristics to the virtual model.The running time of existing photon transmission model is too long to meet the real-time requirement of simulation system.For this problem,we described the photon transmission in the multi-layer flat-type media utilizing its group characteristics,and the photons in the received plane using Gaussian distribution,then got the photon distribution in receiving plane according to the results of total numbers and 63.2% energy radius.Experimental results show that the trends and values of this method are basically consistent with the standard Monte Carlo photon transmission model in the same simulation conditions,and this method delivers a substantial increase in speed which can meet the real-time requirements of general simulation system.

导出引用

贾延玺, 姜守达. 一种基于高斯分布的光子传输模型建模方法[J]. 电子学报, 2012, 40(10): 2073-2078. https://doi.org/10.3969/j.issn.0372-2112.2012.10.028

JIA Yan-xi, JIANG Shou-da. A Photon Transport Modeling Approach Based on Gaussian Distribution[J]. Acta Electronica Sinica, 2012, 40(10): 2073-2078. https://doi.org/10.3969/j.issn.0372-2112.2012.10.028

中图分类号： TP399

参考文献

[1] 彭宇行,张拥军,李思昆.分布式虚拟环境的时空一致性研究[J].电子学报,2005,32(2):313-316. Peng Yu-xing,Zhang Yong-jun,Li Si-kun.Time-Space consistency in distributed virtual environments[J].Acta Electronica Sinica,2005,32(2):313-316.(in Chinese)
[2] Nunu Ren,Jimin Liang,Xiaochao.GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues[J].Optics Express,2010,18(7):6811-6823.
[3] Q Fang,D A Boas.Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units[J].Optics Express,2009,17(22):20178-20190.
[4] Norbert S Zolek,Adam Liebert,Roman Maniewski.Optimization of the monte carlo code for modeling of photon migration in tissue[J].Computer Methods and Programs in Biomedicine,2006,84(1):50-57.
[5] Erik Alerstam,Stefan Andersson-Engels,et al.White Monte Carlo for time-resolved photon migration[J].Journal of Biomedical Optics,2008,13(4):1-10.
[6] Yun Tianliang,Zeng Nan,Li Wei,et al.Monte Carlo simulation of polarized photon scattering in anisotropic media[J].Optics Express,2009,17(19):16590-16620.
[7] Wang Jiangang,Wang Guiying,Xu Zhizhan.Monte Carlo simulation of photon migration path in turbid media[J].Chin Opt Lett,2008,6(7):530-532.
[8] K E Kunkel,J A Weinman.Monte Carlo analysis of multiply scattered lidar return.Journal of the Atmospheric Sciences,1976,33(1):1772-1881.
[9] 吴真,贺俊芳,吴登科.蒙特卡罗模拟光通过大气后的时间分布[J].强激光与粒子束,2011,23(3):779-782. Wu Zhen,He Jun-fang,Wu Deng-ke.Simulation of transmitted light through atmosphere by Monte Carlo method[J].High Power Laser and Particle Beams,2011,23(3):779-782.(in Chinese)
[10] Luc R Bissonnette.Multiple-scattering lidar equation[J].Applied Optics,1996,35(33):6449-6465.