Selection Scheme of Terrain Adaptation Area Based on Hierarchical Decision-Making

Abstract

The invention provides a terrain adaptation area selection scheme based on hierarchical decision-making, which belongs to the field of terrain-assisted navigation, including a threshold discrimination model and a multi-criteria decision-making model: (1) terrain adaptability is described by terrain characteristic parameters; (2) The threshold discriminant model includes necessary and sufficient conditions for adaptive terrain, which are used to detect significantly unsuitable terrain and significantly adapted terrain with high accuracy, and transfer the undetermined area to the multi-criteria decision-making model; (3) Multi-criteria decision-making model According to the difficulty of modeling the undetermined area, one or more classifier models are established by using the pattern recognition method, and the suitability judgment result of the undetermined area is given through decision-making or fusion decision-making. The invention adopts a layered decision-making scheme, and effectively improves decision-making efficiency and decision-making reliability by narrowing the applicable range of the model.

Description

technical field [0001] The invention provides a terrain adaptation area selection scheme based on hierarchical decision-making, and belongs to the technical field of terrain-assisted navigation. Background technique [0002] In the INS-based navigation system, due to the characteristic of INS error accumulating over time, other navigation methods are usually required for periodic correction, and the TERCOM algorithm (see "Golden J P. Terrain contour matching (TERCOM): a cruise missile guidance aid[ J]. Image processing for missileguidance, 1980, 238:10-18.") The terrain-assisted navigation algorithm represented by is a common method combined with INS. The advantage of the terrain-assisted navigation algorithm is that it is easy to apply and has reliable performance. The key to terrain-assisted navigation accuracy. [0003] In the 1970s, researchers proposed a theoretical model for estimating the accuracy of the TERCOM algorithm, which actually provides a method for estimat...

AI Technical Summary

Problems solved by technology

However, in the existing research results, the adaptability analysis and modeling are often based on a single model, which makes it difficult for the model to simultaneously improve the number of detections in the adaptation area and the detection accuracy rate.

Images