改进PV模型在北斗/GPS接收机中的应用

Application of improved PV-model in BDS/GPS receivers

提出一种基于卡尔曼滤波器的改进10元素段落向量(PV)解算模型.该模型依据卡尔曼滤波器的时间相关性,利用由位置坐标、运动速度以及双系统时钟模型构成10元素的系统状态量,在多个历元内的伪距和多普勒频移观测量基础上进行滤波解算.静态定位测试结果表明,10元素PV模型能够将定位误差提高至±3 m内,且其定位结果在时间上表现为有色噪声.该模型可应用于大部分日常生活运动场景,有利于提高运动物体的导航精度.

This thesis proposes an improved 10-element paragraph vectors(PV)model based on Kalman filter.Due to the time-dependent Kalman filter,this model uses 10-element system state variables composed of position,velocity and clock model,uses the pseudo-range and doppler shift observations over multiple epochs to calculate.Static positioning test results show that the 10-element PV model can increase positioning error to within±3 meters,and appear as colored noise in time.This model can be applied to most of the daily life of sports scenes,that increases the navigation accuracy of moving objects is extremely favorable.