摘要
提出了采用正反向Kalman滤波进行动态精密单点定位事后处理参数估计的方法,连续实施两次方向相反的Kalman滤波,第一次滤波结果作为第二次滤波的初始信息,第二次滤波结果作为最终结果。该方法克服了传统Kalman滤波方法在模糊度参数收敛之前定位精度不高的缺陷,同时还具有原理简单、易于实现的优点。实测数据解算实验表明,该方法正确有效,可以获得理想的动态精密单点定位结果。
There are several methods usually used for parameters estimate in precise point po- sitioning including Kalman filters, recursive least square and square root information filtering and smoothing （SRIF^SRIS）. Using Kalman filter to estimate parameters for kinematic precise point positioning （PPP） post-processing has a fatal shortcoming as the positioning precision is bad before ambiguity estimates are converged. The approach of a forward-back- ward Kalman filter is proposed to handle this problem, which is to sequentially carry out Kalman filter twice in both forward and backward directions. The results of the first time fil- tering are used as the initial information for the second time filtering while the results of the second time filtering are treated as final results of kinematic PPP. This method is simple in theory and easy for programming. Both simulated dynamic positioning test using static data and airborne dynamic positioning test were carried out. The results demonstrate that the new approach can achieve equivalent positioning accuracy as other methods.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第3期279-282,共4页
Geomatics and Information Science of Wuhan University
