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小波变换在车辆GPS导航的应用
引用本文:李红连,黄丁发. 小波变换在车辆GPS导航的应用[J]. 传感器与微系统, 2006, 25(7): 79-81
作者姓名:李红连  黄丁发
作者单位:西南交通大学,土木工程学院,四川,成都,610031
摘    要:在分析车辆GPS导航信号观测粗差、噪声特性的基础上,提出了基于小波变换的车辆GPS导航信号粗差探测及滤波算法.数据仿真表明:该算法能够有效地克服Kalman滤波需要精确数学模型和滤波效果受粗差影响较大的缺点.

关 键 词:全球定位系统  小波变换  Kalman滤波  粗差探测  去噪  小波变换  车辆  导航信号  应用  system  GPS navigation  vehicle  wavelet transformation  影响  粗差探测  滤波效果  数学模型  Kalman  滤波算法  数据仿真  噪声特性  观测粗差  分析
文章编号:1000-9787(2006)07-0079-03
收稿时间:2006-02-23
修稿时间:2006-02-23

Application of wavelet transformation for vehicle GPS navigation system
LI Hong-lian,HUANG Ding-fa. Application of wavelet transformation for vehicle GPS navigation system[J]. Transducer and Microsystem Technology, 2006, 25(7): 79-81
Authors:LI Hong-lian  HUANG Ding-fa
Affiliation:School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract:Through analyzing the properties of vehicle GPS navigation signal's observation gross error and random noise,a new gross error detecting algorithm and de-noising algorithm of vehicle GPS navigation signal is presented based on wavelet transformation.Data emulation calculation shows that this algorithm can overcome the gross error influence on filtering precision by comparing with the kalman filtering algorithm,and the strict mathematical model isn't essential for the algorithms.
Keywords:global positioning system(GPS)  wavelet transformation  Kalman filtering  gross error detection  de-noising
本文献已被 CNKI 维普 万方数据 等数据库收录!
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