基于CCA与POD的气动光学畸变分析

许东; 刘浩伟; 段玥

基于CCA与POD的气动光学畸变分析

北京航空航天大学仪器科学与光电工程学院, 北京 100191

基金项目: 国家自然科学基金资助项目(60878051); 航空科学基金资助项目(20090151006)

详细信息

中图分类号: TP 29; V 21
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- 被引次数: 0
出版历程
- 收稿日期: 2010-09-21
- 网络出版日期: 2012-01-30

Analysis of aero-optical distortions based on canonical correlation analysis and proper orthogonal decomposition

School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 利用典型相关分析和本征正交分解方法,对计算流体力学得到的导弹红外窗口绕流三维密度场数据进行研究.取三维密度场沿展向两个相邻截面的数据先进行典型相关分析提取出两个截面的相关性最强部分,再利用本征正交分解消除两个截面之间数据的冗余信息,获得了能够包含两个截面密度场主要的信息部分.利用提取出的数据重构流场,并进行气动光学畸变仿真分析,仿真结果能较好地近似原始流场的情况.
- 气动光学 /
- 典型相关分析 /
- 本征正交分解 /
- 光学畸变 /
- 相干结构
Abstract: The methods of canonical correlation analysis (CCA) and proper orthogonal decomposition (POD) were used to study the 3D density field data computed by computational fluid dynamics (CFD). 2D-CCA was adopted to extract the canonical correction features between two cross sections along the spanwise, and then POD was adopted to eliminate the redundancy information between two cross sections. In this way, the features containing the domain information were extracted from the original data. The extracted feartures are then used to reconstruct the 3D density field, and the simulated corresponding aero-optical effect distortions gives the evidences that light transmission in reconstructed field is similar to the original field.
- aero-optics /
- canonical correlation analysis /
- proper orthogonal decomposition /
- aero-optical distortions /
- coherent structure

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[1] 钟坚. 红外成像制导武器的装备与发展[J].舰船电子工程,2008,28(6):27-29 Zhong Jian.Equipment and development tendency of the infrared imaging guidance weapon[J].Ship Electronic Engineering,2008,28(6):267-29(in Chinese) [2] 李桂春.气动光学[M].北京:国防工业出版社,2006:7-8 Li Guichun.Aero-optics[M].Beijing:National Defense Industry Press,2006:7-8 (in Chinese) [3] 韩志平,殷兴良.高超音速导弹气动光学效应研究方法综述[J].现代防御技术,2003,31(3):13-18 Han Zhiping,Yin Xingliang.Overview of study methods for aero-optic effect of hypersonic missiles[J].Modern Defense Technology,2003,31(3):13-18(in Chinese) [4] Truman C R.The influence of turbulent structure on optical phase distortion through turbulent shear flow .AIAA-92-2817,1992 [5] Truman C R,Lee M J.Effects of organized turbulence structures on the phase distortion in a coherent optical beam propagating through a turbulent shear flow[J].Phys Fluids A,1990,2(5):851-857 [6] Cicchiello J M.Low order representation of dynamic aero-optic distortions .Notre Dame,IN,USA:University of Notre Dame,2001 [7] Cicchiello J M,Jumper E J.Addressing the oblique-viewing aero-optic problem with reduced order methods // 32nd AIAA Plasmadynamics and Lasers Conference.Anaheim CA: ,2001 [8] 吴琳,房建成,杨照华.本征正交分解在气动光学畸变仿真中的分析与应用[J].红外与毫米波学报,2007,26(4):312-316 Wu Lin,Fang Jiancheng,Yang Zhaohua.Proper orthogonal decomposition applied in the analysis of simulation aero-optical distortions[J].Journal of Infrared and Millimeter Waves,2007,26(4):312-316(in Chinese) [9] Richardson L F.Weather prediction by numberical process[M].Britain,Cambridge:Cambridge University Press,1922 [10] Wang Tao,Zhao Yan,Xu Dong.Numerical study of evaluating the optical quality of supersonic flow field [J].Applied Optics,2007,46(23):5545-5551 [11] Chatterjee A.An introduction to the proper orthogonal decomposition[J].Current Science,2000,78(7):808-817 [12] 王惠文.偏最小二乘回归方法及其应用[M].北京:国防工业出版社,1999:91-115 Wang Huiwen.Partial least-squares regression method and applications[M].Beijing:National Defense Industry Press,1999:91-115(in Chinese) [13] 张尧庭,方开泰.多元统计分析[M].北京:科学出版社,1999:245-257 Zhang Yaoting,Fang Kaitai.Multivariate statistical analysis[M].Beijing:Science Press,1999,245-257(in Chinese) [14] 孙权森.基于典型相关投影分析的特征抽取与图像识别研究 .南京:南京理工大学计算机科学与技术学院,2006 Sun Quansen.Research on feature extraction and image recognition based on correlation projection analysis .Nanjing:School of Computer Science & Technology,Nanjing University of Science and Technology,2006(in Chinese) [15] 彭岩,张道强.半监督典型相关分析算法[J].软件学报,2008,19(11):2822-2832 Peng Yan,Zhang Daoqiang.Semi-supervised canonical correlation analysis algorithm[J].Journal of Software,2008,19(11):2822-2832(in Chinese)

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