R-T-S平滑算法在POS数据后处理中的应用

高精度的定位定姿系统（POS,Position and Orientation System）在测绘领域发挥着重要的作用,为了提高数据的精度,将平滑技术应用于POS数据的后处理中.文中介绍POS数据后处理算法的流程,对平滑技术尤其是应用最为广泛的R-T-S平滑进行详细分析,并对该算法进行数值仿真.结果表明,与传统的卡尔曼滤波相比,R-T-S平滑不仅可以提高位置姿态精度,而且在卫星信号失锁的情况下精度也能得到大幅改善,是一种有效的数据处理算法.

Application of R-T-S smoothing algorithm to POS data post-processing

Position and Orientation System（POS） with high precision plays an important role in surveying and mapping area.In order to improve the precision of the data,a smoothing technique is used in POS data post-processing.The flow of POS data post-processing algorithm is introduced,and smoothing techniques especially R-T-S smoothing widely used are analysed particularly.The algorithm is simulated in the end.The simulation results indicates that being compared to Kalman Filter R-T-S smoothing can improve the precision of position and attitude,of which the precision can also be improved during the satellite signal outages,and it is an effective data processing algorithm.