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Improvement of Batch Processed TRN Considering MAD Statistics

机译:考虑MAD统计,改进批量处理的TRN

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TRN (Terrain Referenced Navigation) is based on the comparison of terrain height measurements with a digital elevation map. The comparison can be carried out either based on MAD (minimum absolute differences) or MSD (minimum square differences). Batch processed TRN can be used to provide horizontal position fixes. However, over flat terrain and water, TRN cannot fix the position of the vehicle, because the candidate profiles which have a MAD value similar to the minimum will appear in the data correlation process. To overcome this drawback, we propose two enhancements. First, a decision is made for whether or not to use batched-processed TRN, depending on the degree of the terrain roughness. Second, the statistics of MAD are used to prevent false fixes due to similar terrain in the area of interest. Simulation results show improvement in the navigation performance of the updated data correlation method.
机译:TRN(地形引用导航)基于地形高度测量与数字高度映射的比较。可以基于MAD(最小绝对差异)或MSD(最小平方差)来执行比较。批处理的TRN可用于提供水平位置修复。然而,在平坦的地形和水上,TRN无法固定车辆的位置,因为具有类似于最小值的疯狂值的候选曲线将出现在数据相关过程中。为了克服这个缺点,我们提出了两个增强功能。首先,取决于地形粗糙度的程度,针对是否使用批处理处理的TRN进行决定。其次,由于在感兴趣的领域,疯狂的统计数据用于防止由于类似地形而导致的错误修复。仿真结果显示了更新数据相关方法的导航性能的提高。

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