Terrain Navigation Quality Assessment via Segmented Error Analysis
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Solution Overview
Problem
Current navigation systems with Terrain Navigation Modules face challenges in providing clear and precise quality information for position support due to suboptimal quality approximation methods, which are influenced by terrain roughness, sensor quality, and comparison algorithms, leading to inaccurate position determination.
Innovation Solution
A procedure that determines navigation solutions by using a Strap Down Module and navigation filter to assess the quality of position support through specific quality functions, distribution functions, and error measurement analysis, creating a search area and storing terrain height measurements to identify the position with minimal total error and highest probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If heuristic procedures are used to determine quality based on terrain roughness, then the quality assessment can be performed, but the accuracy is reduced because other factors like IMU quality and reference map quality are not considered
Solution Approach 1:
The quality assessment is divided into separate components: terrain roughness quality, IMU quality, reference map quality, and comparison algorithm quality. Each component is evaluated independently using specific functions, and then combined to produce the overall position support quality. This segmentation allows for more accurate and comprehensive quality assessment while maintaining computational efficiency.
2Productivity
If direct comparison of terrain height measurements with reference map is used, then acquisition and tracking performance is improved, but quality information of individual position support cannot be supplied
Solution Approach 1:
The system continuously monitors and evaluates the quality of position support by comparing terrain height measurements with reference map data. Quality functions provide feedback on the reliability of position support based on terrain roughness, IMU quality, reference map quality, and comparison algorithm performance. This feedback mechanism enables the system to maintain high acquisition and tracking performance while providing accurate quality information.
3Ease of operation
If suboptimal quality approximation methods are used, then the navigation system can operate, but the position determination becomes inaccurate
Solution Approach 1:
The system changes the parameters used for quality assessment from simple terrain roughness metrics to a comprehensive set of parameters including IMU quality, reference map quality, and comparison algorithm quality. By updating and refining these parameters through continuous evaluation and feedback, the system achieves both operational capability and high position determination accuracy.
Data Source
AI summary
A navigation solution of a navigation system with a Terrain Navigation Module is determined by a procedure including determining a supported position solution and the relative covered path between two height measurements, ascertaining a quality of each active supported position from each active supported position by way of a first quality function, and creating a search area and predetermined positions for each position inside the search area and each relatively stored covered path. The procedure further includes ascertaining a quality of each relatively stored terrain height measurement, and a quality of each reference height, and determining the quality of the position support by a function of all minimum probabilities of all used positions in the search area and supporting the navigation solution ascertained in the Strap Down Module by the navigation filter with the aid of the determined position support and the determined quality of the position support. A navigation system with a Strap Down Module and a navigation filter and a Terrain Navigation Module for determining the navigation solution are also described.