HIRAS noise performance improvement based on principal component analysis

Lee Lu; Zhang Peng; Qi Chengli; Hu Xiuqing; Gu Mingjian

首页> 外文期刊>Applied optics >HIRAS noise performance improvement based on principal component analysis

【24h】

HIRAS noise performance improvement based on principal component analysis

机译：基于主成分分析的HIRAS噪声性能改进

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Mirror jitters around a bias tilt angle can make noise performance degradation for a space-borne Michelson interferometer. A numerical model simulates the Hyperspectral Infrared Atmospheric Sounder (HIRAS) spectra affected by the mirror jitters. According to the simulation, mirror jitters mainly generate spectrally correlated noise, which can be estimated by subtracting the random noise component from the total noise. The random noise is estimated through a principal component analysis (PCA) technique. Applying the PCA noise estimator as a diagnostic tool to monitor the noise level in the process of bias tilt angle tuning, optimized HIRAS noise performance is achieved with the correlated noise component minimized. (C) 2019 Optical Society of America

机译：镜子夹具围绕偏置倾斜角度可以对空间传播的迈克尔逊干涉仪进行噪音性能下降。数值模型模拟受镜子抖动影响的高光谱红外大气发声器（HIRAS）光谱。根据模拟，镜像夹具主要产生光谱相关噪声，这可以通过从总噪声中减去随机噪声分量来估计。通过主成分分析（PCA）技术估计随机噪声。将PCA噪声估算器应用于诊断工具来监视偏置倾斜角度调谐过程中的噪声水平，通过最小化相关的噪声分量来实现优化的HIRAS噪声性能。（c）2019年光学学会

著录项

来源
《Applied optics》 |2019年第20期|共10页
作者
Lee Lu; Zhang Peng; Qi Chengli; Hu Xiuqing; Gu Mingjian;
展开▼
作者单位

Natl Satellite Meteorol Ctr Key Lab Radiometr Calibrat &

Validat Environm Sat Beijing 100081 Peoples R China;

Natl Satellite Meteorol Ctr Key Lab Radiometr Calibrat &

Validat Environm Sat Beijing 100081 Peoples R China;

Natl Satellite Meteorol Ctr Key Lab Radiometr Calibrat &

Validat Environm Sat Beijing 100081 Peoples R China;

Natl Satellite Meteorol Ctr Key Lab Radiometr Calibrat &

Validat Environm Sat Beijing 100081 Peoples R China;

Chinese Acad Sci Shanghai Inst Tech Phys Shanghai 200083 Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类应用;
关键词

HIRAS noise performance improvement based on principal component analysis

摘要

著录项

相关主题

期刊订阅