利用Matlab和Visual C^(++)实现卡尔曼滤波的新方法  

A NEW METHOD FOR KALMAN FILTER REALIZATION USING Matlab AND Visual C^(++)

作　　者：侯林山[1] 宋三妹[1] 朱才连[1] 

机构地区：[1]中国科学院测量与地球物理研究所,武汉430077

出　　处：《大地测量与地球动力学》2005年第4期96-98,共3页Journal of Geodesy and Geodynamics

基　　金：国家自然科学基金(40274058)

摘　　要：阐述了Matlab与Visual C++的优缺点,提出了一种利用Matlab和Visual C++实现卡尔曼滤波的新方法。利用Matlab的Add-in插件可快速将M文件集成到C++中,创建独立的C/C++程序。通过实例介绍在Visual C++6.0环境下如何实现Matlab与Visual C++的混合编程。The advantage and disadvantage of Matlab and Visual C^＋＋ are discussed separately and a new Kalman filter realization method based on Matlab and Visual C^＋＋ is presented. Matlab Add-in function package can rapidly integrate M files to C^＋＋ programs and create independent C/C^＋＋ program. A example that the mixed program based on Matlab and Visual C^＋＋ in the environment of Visual C^＋＋ 6.0 how can be realized is introduced.

关 键 词：MATLAB VISUAL C^++ 卡尔曼滤波 集成 混合编程 

分 类 号：O245[理学—计算数学]