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基于模拟退火的傅里叶变换成像光谱仪干涉图相位修正
引用本文:Huang FZ,Yuan Y,Zhang XB,Wang Q,Zhou ZL. 基于模拟退火的傅里叶变换成像光谱仪干涉图相位修正[J]. 光谱学与光谱分析, 2011, 31(7): 2011-2014. DOI: 10.3964/j.issn.1000-0593(2011)07-2011-04
作者姓名:Huang FZ  Yuan Y  Zhang XB  Wang Q  Zhou ZL
作者单位:1. 北京航空航天大学精密光机电一体化技术教育部重点实验室,北京,100191
2. 中国科学技术大学,安徽合肥,230026
基金项目:国家重点基础研究发展计划项目,长江学者和创新团队发展计划项目
摘    要:相位修正是傅里叶变换成像光谱仪光谱复原的关键技术之一,针对现有算法对带有噪声的干涉图相位修正不足的问题,文章提出了一种基于模拟退火算法求解相位误差的修正方法.该方法通过控制相位下降函数,利用相位区间内产生的随机相位值修正干涉图数据得到同标函数值,依据Metropolis准则判断目标函数增最以确定相位最优解.该算法仿真结...

关 键 词:傅里叶变换成像光谱仪  模拟退火算法  相位误差  修正函数

Simulated annealing based phase correction of interferogram in Fourier transform imaging spectrometer
Huang Feng-zhen,Yuan Yan,Zhang Xiu-bao,Wang Qian,Zhou Zhi-liang. Simulated annealing based phase correction of interferogram in Fourier transform imaging spectrometer[J]. Spectroscopy and Spectral Analysis, 2011, 31(7): 2011-2014. DOI: 10.3964/j.issn.1000-0593(2011)07-2011-04
Authors:Huang Feng-zhen  Yuan Yan  Zhang Xiu-bao  Wang Qian  Zhou Zhi-liang
Affiliation:Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China. huangfengzhen1019@163.com
Abstract:Phase correction is one of the key technologies in the spectrum recovery of the Fourier transform imaging spectrometer. The present paper proposes a correction method based on simulated annealing algorithm to calculate phase error, which overcomes the disadvantage of the existing methods that can not correct the interferogram with noise. The method determines the phase optimum solution by controlling the phase decrease function, attaining objective function value by correcting interferogram data with random phase value generated in the phase range, and determining the objective function increment in accordance with the Metropolis criterion. The simulation result of the algorithm indicates that the optimized phase error is less than 0.5%, and both the error accuracy and stability of the spectrum-recovered relative spectrum is less than 1%, which is a great improvement compared with the existing algorithm.
Keywords:
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