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Terrain correlation suitability

机译:地形相关适用性

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摘要

Abstract: Terrain-aided navigation (TAN), also referred to as terrain correlation, is a technique that has proven to be highly successful as a navigational aid for autonomous, unmanned guided missiles. Qualitatively speaking, the effectiveness of terrain correlation is a function of signal- to-noise (S/N) ratio. The signal is equivalent to terrain roughness, while the noise is the combination of reference map errors, radar altimeter errors, and INS altitude errors. However, it is not practical to use only a single parameter, such as S/N, to define the suitability of terrain correlation. This paper discusses the shortcomings of the conventional single-parameter approach to the terrain contour matching algorithm (TERCOM) used in cruise missile guidance systems scene selection. A more comprehensive technique is then presented that analyzes the terrain correlation suitability based on a Monte Carlo simulation technique. A figure-of-merit (FOM) for terrain correlation suitability, computed from sample statistics, is introduced and simulation results are provided to illustrate the feasibility of using a multi-parameter FOM technique. The preliminary results indicate that the proposed approach could provide a cost effective enhancement to the TAN-based mission planning process. !6
机译:摘要:地形辅助导航(TAN),也称为地形关联,是一种非常成功的技术,可作为自主无人制导导弹的导航辅助设备。从质量上讲,地形相关性的有效性是信噪比(S / N)的函数。信号等效于地形粗糙度,而噪声则是参考地图误差,雷达高度计误差和INS高度误差的组合。但是,仅使用单个参数(例如S / N)来定义地形相关性的适用性是不切实际的。本文讨论了用于巡航导弹制导系统场景选择的地形轮廓匹配算法(TERCOM)的常规单参数方法的缺点。然后提出了一种更全面的技术,该技术基于蒙特卡洛模拟技术来分析地形相关性适合性。引入了从样本统计数据中得出的地形相关性适合度的品质因数(FOM),并提供了仿真结果来说明使用多参数FOM技术的可行性。初步结果表明,所提出的方法可以为基于TAN的任务计划流程提供经济高效的增强。 !6

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