伪距和多普勒频移干扰下的公路平整度抗乘噪测量  

Road Roughness Resistance Multiplicative Noise Measurement Under the Pseudorange and Doppler Frequency Shift Disturbance

作　　者：林朝飞[1] 

机构地区：[1]攀枝花学院交通与汽车学院,四川攀枝花617000

出　　处：《科技通报》2014年第5期168-171,共4页Bulletin of Science and Technology

摘　　要：传统的滤波方法不能满足测量公路平整度的精度要求。为此,提出一种新的用于公路平整度测量的滤波算法。利用伪距和多普勒频移建立乘性噪声测量模型,利用二阶马尔卡夫对模型进行变换,在运用卡尔曼算法进行滤波,消除测量中的伪距和多普勒频移干扰误差,完成优化测量。结果表明,利用该算法能够有效消除GPS信道中的乘性噪声,实现了对公路平整度的精确测量。The traditional filtering methods can not meet the requirement of the precision of the measurement of road roughness. For this, put forward a new filtering algorithm for road roughness measurement. Using pseudorange and doppler frequency shift multiplicative noise measurement model is established, using the second order omar kraft to transform model, the use of kalman filtering algorithm, eliminate the measurement of pseudorange and doppler frequency shift disturbance error, and complete the optimization measure. The results show that the algorithm can effectively eliminate the GPS multiplicative noise in the channel, realize the precise measurement of road roughness.

关 键 词：乘性噪声干扰 GPS技术 公路平整度测量 卡尔曼算法 

分 类 号：U491.22[交通运输工程—交通运输规划与管理]