Investigation of self-adaptive algebraic tomography for gas reconstruction in larger temperature range by multiple wavelengths absorption spectroscopy  

作　　者：李宁 吕晓静 翁春生 

机构地区：[1]National Key Laboratory of Transient Physics, Nanjing University of Science and Technology

出　　处：《Chinese Optics Letters》2014年第12期52-58,共7页中国光学快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.11372141);the Specialized Research Fund for the Doctoral Program of Higher Education of China(No.20113219120045);the Fundamental Research Funds for the Central Universities(No.30920130112007)

摘　　要：We develop a self-adaptive algebraic tomography algorithm （SAATA） to investigate the simultaneons reconstruction of concentration and temperature distributions in larger temperature range from two views. The simplified optical arrangement with fewer projections is realized by extension of spectral information at multiple wavelengths, resulting in great potential in applications of practical combustion diagnosis. Tile results show SAATA can perform much better reconstructions in 300 3000 K temperature range than genetic simulated annealing algorithm and least-square orthogonal-triangular decomposition method with two- wavelength scheme. More phantoms are created to demonstrate the capability of SAATA to capture the peaks and adapt for both flat and sharp temperature distributions. Meanwhile, the advantage of high stability ensures better reconstruction performance at noise levels from 0.1% to 10% in projections.We develop a self-adaptive algebraic tomography algorithm （SAATA） to investigate the simultaneons reconstruction of concentration and temperature distributions in larger temperature range from two views. The simplified optical arrangement with fewer projections is realized by extension of spectral information at multiple wavelengths, resulting in great potential in applications of practical combustion diagnosis. Tile results show SAATA can perform much better reconstructions in 300 3000 K temperature range than genetic simulated annealing algorithm and least-square orthogonal-triangular decomposition method with two- wavelength scheme. More phantoms are created to demonstrate the capability of SAATA to capture the peaks and adapt for both flat and sharp temperature distributions. Meanwhile, the advantage of high stability ensures better reconstruction performance at noise levels from 0.1% to 10% in projections.

关 键 词：Absorption spectroscopy ALGEBRA ALGORITHMS Least squares approximations Simulated annealing Temperature distribution TOMOGRAPHY 

分 类 号：O433.1[机械工程—光学工程]