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Kalm an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。
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.
出处
《传感器与微系统》
CSCD
北大核心
2006年第7期79-81,共3页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(40271091)
关键词
全球定位系统
小波变换
KALMAN滤波
粗差探测
去噪
global positioning system （GPS）
wavelet transformation
Kalman filtering
gross error detection
denoising
