基于Kalman滤波的无源动态定位算法的研究

目前已经能够研制出测量用户至卫星伪距信号的“北斗”用户接收机，此款接收机可以工作在无源定位的情况下．由于“北斗”定位卫星数量极其有限，接收机在动态定位的精度上会出现很大的误差．文中针对这一问题进行讨论，采用“当前”统计模型来建立用户载体的状态方程，并且提出一种新的量测方程，然后将构建的Kalman滤波方程组运用于接收机的动态定位中，仿真结果表明，这种算法能很好地改善定位的精度及动态性能．

Research on Possive Dynamical Positioning Algorithm Based on Kalman Filter

The t3D receiver can measure the pseudo distance between the satellite and the user, so that it can work in the passive positioning system. Since the quantity of the satellite is very limited, the precision of the result is low in dynamical measuring process. The paper puts forward a solution by adopting the statistical model based on current data to set up the state function and claims a new measuring function. The simulation results show that this possive dynamical positioning algorithm can improve the positioning precision.