基于衰减记忆的地形辅助导航算法

Terrain Aided Navigation Using Fading Memory

地形辅助导航是解决惯性导航系统定位误差随时间不断增大的缺点的重要方法之一。提出了基于衰减记忆的地形辅助导航算法,算法使用了一个新的相关算子,根据量测值存在的历史时间长短,对量测值赋以不同的权值,用一个递归表达式递归地计算相关值。该算法在提高定位精度的同时减少了计算量和存储空间,从而提高计算速度,并连续输出定位结果。仿真结果表明该算法的正确匹配率、均方根误差和圆概率误差均优于TERCOM算法。

Terrain aided navigation (TAN) is the concept of us ing terrain height variations below the aircraft to obtain an estimation of the position that is used to limit the error in the INS. A new TAN approach using f ading memory is proposed. The basic idea of this approach is using a new type co rrelation functional value to estimate the navigation position. The correlation function is defined by all the historical measurements with fading memory weight . A set of simulations shows that the method improve the precision and speed of TAN compared with TERCOM.