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Accurate reconstruction of the optical parameter distribution in participating medium based on the frequency-domain radiative transfer equation

ISSN号：1674-1056
期刊名称：《中国物理B：英文版》
时间：0
分类：TP301.6[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术] TN820[电子电信—信息与通信工程]
作者机构：[1]School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China, [2]Civil Aviation University of China, Tianjin 300300, China
相关基金：Project supported by the Major National Scientific Instruments and Equipment Development Special Foundation of China （Grant No. 51327803）, the National Natural Science Foundation of China （Grant No, 51476043）, and the Fund of Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance in Civil Aviation University of China.

作者：乔要宾, 齐宏, 赵方舟, 阮立明

关键词：温度分布, PSO算法, 辐射特性, 参与性介质, 同时重建, 混合, 粒子群优化算法, 吸收系数, LSQR-PSO, inverse problem, retrieval temperature field, line-of-sight method

中文摘要：

A hybrid least-square QR decomposition(LSQR)-particle swarm optimization(LSQR–PSO) algorithm was developed to estimate the three-dimensional(3D) temperature distributions and absorption coefficients simultaneously. The outgoing radiative intensities at the boundary surface of the absorbing media were simulated by the line-of-sight(LOS)method, which served as the input for the inverse analysis. The retrieval results showed that the 3D temperature distributions of the participating media with known radiative properties could be retrieved accurately using the LSQR algorithm,even with noisy data. For the participating media with unknown radiative properties, the 3D temperature distributions and absorption coefficients could be retrieved accurately using the LSQR–PSO algorithm even with measurement errors. It was also found that the temperature field could be estimated more accurately than the absorption coefficients. In order to gain insight into the effects on the accuracy of temperature distribution reconstruction, the selection of the detection direction and the angle between two detection directions was also analyzed.

英文摘要：

A hybrid least-square QR decomposition （LSQR）-particle swarm optimization （LSQR-PSO） algorithm was devel- oped to estimate the three-dimensional （3D） temperature distributions and absorption coefficients simultaneously. The outgoing radiative intensities at the boundary surface of the absorbing media were simulated by the line-of-sight （LOS） method, which served as the input for the inverse analysis. The retrieval results showed that the 3D temperature distribu- tions of the participating media with known radiative properties could be retrieved accurately using the LSQR algorithm, even with noisy data. For the participating media with unknown radiative properties, the 3D temperature distributions and absorption coefficients could be retrieved accurately using the LSQR-PSO algorithm even with measurement errors. It was also found that the temperature field could be estimated more accurately than the absorption coefficients. In order to gain insight into the effects on the accuracy of temperature distribution reconstruction, the selection of the detection direction and the angle between two detection directions was also analyzed.

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