提高GPS定位精度的自适应IMM滤波算法  

Adaptive IMM Algorithm for Improving GPS Positioning Accuracy

作　　者：王康[1] 刘莉[1] 杜小菁[1] 李怀建[1] 

机构地区：[1]北京理工大学宇航学院,北京100081

出　　处：《弹箭与制导学报》2010年第6期66-69,共4页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：为提高GPS动态定位解算精度,将IMM算法引入到GPS定位解算中,利用匀速模型和"当前"统计模型进行交互。利用位置估计值与加速度的函数关系自适应调整加速度方差,同时引入强跟踪滤波器,提高模型对载体突发机动的自适应跟踪能力。利用SpirentGPS模拟器和NovAtel差分系统及NovAtel接收机分别进行了仿真实验和跑车实验。实验结果表明,该算法的定位精度优于标准的"当前"模型滤波算法和No-vAtel接收机。The interacting multiple model algorithms were introduced into GPS positioning.The constant velocity model and current statistics model were selected.A method using the relation of location estimation and acceleration was presented to adjust the acceleration variance adaptively.The strong tracking filter was utilized to improve the adaptive tracking performance when there was a sudden maneuver.Simulation and run-in test were carried out employing GPS simulator and NovAtel differential position system as well as NovAtel receiver,respectively.The results indicate that this adaptive algorithm has higher accuracy than normal current statistical model as well as NovAtel receiver.

关 键 词：GPS 定位精度 交互式多模型 “当前”统计模型 

分 类 号：V249.32[航空宇航科学与技术—飞行器设计]