基于贝叶斯方法的地形辅助导航算法

Terrain Aided Navigation Using Bayes Rule

提出并建立了一种基于贝叶斯方法的地形辅助导航(TAN)模型,推导了模型公式。针对该模型,应用最大后验估计方法,给出了一种近似的实现方法,即基于贝叶斯方法的地形辅助导航算法。仿真结果表明,该算法的均方根误差和圆概率误差等性能均优于SITAN(桑地亚惯性地形辅助导航)算法。

A new terrain-aided navigation(TAN) approach using Bayes rule has been proposed. The basic idea of this approach is using bayes rule to compute the Probability Density Function(PDF) of INS抯 error and using a posteriori maximum estimation to estimate INS抯 error. Its simulations are made which show that the precisions of autonomous navigation using this method are improved compare to that of Sandia Inertial Terrain Aided Navigation(SITAN).