针对JTIDS相对导航中用户自身运动模型不准和机动性会给定位结果带来误差的问题,文中提出了一种改进型UKF在JTIDS相对导航中的应用算法。该算法根据新息的变化确定时变修正因子,通过实时的修正sigma点和协方差来调整新息在估计值中的权重,以适应当前时刻下的运动状态。仿真结果表明,该算法能够有效地消除模型不准和机动性带来的定位误差,并且能够快速得到收敛结果。

As for JTIDS relative navigation, in view of inaccurate motion-model and the motility of user would make errors in localization, the paper proposed an improved UKF was proposed to solve this problem. Firstly, the algorithm ensures a factor based on the varieties of the new information. Then the algorithm corrects sigma point and covariance in real-time by using the factor which would adjust the new information's weight in the final estimated value in order to accommodate the current motion-state. The simulation shows that this algorithm can effectively eliminate the localization error caused by inaccurate motion-model or motility, and it can obtain better alignment accuracy and rapidity.