摘要
为了克服传统光谱复原算法理论上的缺点,引入了现代谱估计技术的概念和基本算法.利用两类现代谱估计方法(自回归模型和多重信号分类算法)进行干涉光谱复原,比较了复原光谱与传统光谱复原算法的效果,并对文中所用几种方法的局限性加以验证和说明.研究结果证明了现代谱估计方法应用于光谱复原中完全可行且性能优异,在传感器获取的数据长度有限时可以获得更高的光谱分辨率.
To overcome the shortcoming of the conventional spectrum recovery method, concepts and basic algorithms of a modern spectrum estimation are introduced. Two different methods （auto-Regressive parametric model and multiple signal classification algorithm） are used to reconstruct light spectrum from interferogram. Compared with conventional method for spectrum reconstruction, the modern spetrum estimation methods can well be adopted in spectrum reconstruction and perform excellently, especially when it is used to get higher spectrum resolution from a short series of data recorded.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2013年第9期1091-1096,共6页
Acta Photonica Sinica
基金
国家自然科学基金(No.41005109)
西部之光人才基金(No.Y129281213)资助
关键词
干涉光谱复原
现代谱估计
自回归模型
多重信号分类算法
Interferogram spectrum reconstruction
Modern spectrum estimation
Auto- regressive model
Multiple signal classification algorithm
