首页 | 本学科首页   官方微博 | 高级检索  
     检索      

GPS的多尺度滤波算法研究
引用本文:骆卉子,林雪原,刘磊.GPS的多尺度滤波算法研究[J].海军航空工程学院学报,2011,26(6):617-621, 632.
作者姓名:骆卉子  林雪原  刘磊
作者单位:1. 海军航空工程学院研究生管理大队,山东烟台,264001
2. 海军航空工程学院电子信息工程系,山东烟台,264001
基金项目:国家自然科学基金资助项目
摘    要:将基于模型的GPS动态系统分析方法与基于统计特性的多尺度信号变换方法相结合,在某一尺度上给定的单传感器单模型动态系统中建立起一个新的多尺度动态模型。基于建立的多尺度模型和常规Kalman滤波,提出一个能同时对随机信号进行多尺度分解与多尺度估计的新算法,并通过Haar小波仿真试验获得了比仅利用Kalman滤波更好的估计效...

关 键 词:多尺度估计  动态滤波方法  Kalman滤波  小波变换

Research on GPS Multi-Scale Filtering Algorithm
LUO Hui-zi,LIN Xue-yuan and LIU LEI.Research on GPS Multi-Scale Filtering Algorithm[J].Journal of Naval Aeronautical Engineering Institute,2011,26(6):617-621, 632.
Authors:LUO Hui-zi  LIN Xue-yuan and LIU LEI
Institution:a(Naval Aeronautical and Astronautical University a.Graduate Students’ Brigade;b.Department of Electronic and Information Engineering,Yantai Shandong 264001,China)
Abstract:By combining the model-based analysis for dynamic systems with multi-scale signal transformation,a new multi-scale dynamic model based on dynamic system with single model and single sensor at one given scale was proposed.By developing Kalman filtering,a new multi-scale algorithm was put forward for stochastic signal on the basis of the multi-scale dynamic model,and it could simultaneously implement decomposition and estimation for stochastic signal.The estimation obtained by use of the new algorithm with Haar wavelet were more accurate than the results based on Kalman filtering,and it showed the efficiency of the new algorithm.
Keywords:multi-scale estimation  dynamic filtering method  Kalman filter  wavelet transform
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《海军航空工程学院学报》浏览原始摘要信息
点击此处可从《海军航空工程学院学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号