摘要
根据低成本车辆GPS/DR组合定位系统传感器精度低和计算能力弱的特点,提出一种改进联合卡尔曼滤波(FKF)算法,并简化主滤波器信息融合算法,稍微降低融合精度,提高计算效率。试验结果表明,提出的改进联合滤波算法具有融合精度高、容错性好、计算量小、便于工程实现等优点。
In view of the low accuracy sensors and low calculating capability of low-price global positioning system/dead reckoning （GPS/DR） navigation system for vehicles, a modified federal kalman filter （FKF） is proposed, the fusion algorithm for master filter is simplified, and the calculating efficiency is improved at the cost of slightly reduction of fusion accuracy. Test results show that proposed scheme has reasonable fusion accuracy, good fault-tolerance with less computing effort.
出处
《汽车工程》
EI
CSCD
北大核心
2006年第12期1086-1089,1093,共5页
Automotive Engineering
