分段航迹序列重力匹配方法研究

Gravity matching algorithm study using sequence of segmented track

分析了地形轮廓匹配(TERCOM)和概率数据关联滤波器(PDAF)方法在重力匹配过程中,因惯性导航系统积累误差引起的航位漂移对匹配精度的影响,提出了分段航迹序列重力匹配方法.该方法利用惯导短时航位漂移小的特点,由重力采样点将惯导航迹分成多段,并根据重力量测信息确定各采样点对应的重力图上的等值点,通过限定航迹搜索范围、航迹段惩罚值和最短路径方法得到匹配航迹,从而降低航位漂移对匹配结果的影响.利用该方法对某惯导系统海上实验数据进行仿真匹配,结果表明:相比TERCOM及PDAF方法,该方法匹配精度较高且计算复杂度较小.

The primary object of this paper is to improve the matching accuracy of TERCOM （terrain contour matching） and PDAF （probabilistic data association filter） algorithm. The gravity matching algorithm based on the sequence of segmented track was presented. The algorithm divided INS track into several segments with gravity sampling points and their equivalence points on gravity map were fined out according to gravity measurement. Then the penalty value of track segments and the shortest path method were used to get the matching track in order to reduce the dead-drift influence on matc- hing accuracy for INS high accuracy in short time. The experimental result obtained from the real INS data show that the matching accuracy of this algorithm is better than that of TERCOM and PDAF and its computational complexity is simpler.