基于卡尔曼滤波的CDMA/GPS数据融合算法分析

针对无线定位技术的广泛应用,提出了一种改进的GPS/CDMA数据融合算法。该算法利用卡尔曼滤波实现了CDMA蜂窝网系统和GPS定位数据融合,提出高移动目标的事实上的位精度。借助移动目标的运动矢量模型、CDMA定位误差模型、GPS定位误差模型建立了CDMA和GPS定位状态方程,给出了数据融合的数学模型和融合算法。重点研究了利用卡尔曼滤波实现定位数据的融合。算法分别对GPS定位参数和CDMA定位参数进行滤波处理,然后对滤波后的数据融合。通过仿真表明滤波后两者定位精度都有大幅度的提高,数据融合后定位精度得到进一步的提高。

Analysis of CDMA/GPS data fusion algorithm based on Kalman filter

In view of wireless position technology is widely applied,a improved GPS/CDMA data fusion algorithm is put forward.The location data fusion of CDMA wireless system and PS is implemented using the Kalman filter,which improves the position accuracy of mobile station.By means of the kinetic vector model of mobile station and the location error model of CDMA and GPS,the location state function of CDMA and GPS is founded.The model and algorithm of data fusion is deduced.the location data fusion using Kalman filter is emphatically researched.The location parameter of CDMA and GPS is filtered partly and the disposed date is fused then.The simulation results indicate that their position accuracy is improved and the result after fusion is highly advanced.