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引用次数: 47

摘要

有人提出利用引力场图来纠正目前在无人潜航器(UUV)上使用的一些导航系统固有的导航误差,这种技术可能构成新的UUV导航系统的基础。然而,导航解决方案的准确性和实用性,除其他事项外,取决于重力场图的准确性。由于引力场通常是稀疏且不规则采样的,因此必须使用映射算法来构建引力场图。为了评估从稀疏数据集计算的场图对导航解决方案精度的影响,使用克里格算法从模拟和测量的场数据中计算具有不同网格间距的场图。然后对位置和方位误差进行模拟,并利用各种场图获得校正后的导航定位。为了评估现场数据密度对导航定位精度的影响,对模拟数据进行了次采样,并重复了这一过程。数值结果表明,网格间距和数据密度对导航定位精度有一定的影响,引力场图可用于提供非常精确的导航定位。
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Gravitational field maps and navigational errors
It has been proposed to use gravitational field maps to correct navigational errors inherent in some navigational systems presently in use on unmanned underwater vehicles (UUV) and that such a technology might form the basis for a new UUV navigational system. However, the accuracy and usefulness of the navigational solution depends, among other things, on the accuracy of the gravitational field maps. Since gravitational fields are generally sparsely and irregularly sampled, mapping algorithms must be used to construct the field maps. To assess the impact of field maps computed from sparse sets of data on the accuracy of the navigational solution, the kriging algorithm is used to compute field maps with various grid spacings from both simulated and measured field data. Then position and bearing errors are simulated and the various field maps are used to obtain corrected navigational fixes. To assess the impact of the density of the field data on the accuracy of the navigational fix, the simulated data are sub-sampled and the process is repeated. Numerical results are shown that demonstrate some of the effects of grid spacing and data density on the accuracy of the navigational fix and that gravitational field maps may be used to provide a very accurate navigational fix.
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