Inertial Navigation Filter Model Customization
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Solution Overview
Problem
Existing navigation systems often use generalized models for navigation components, which can limit the performance of filters like the Kalman filter, as these models are not tailored to individual components, leading to suboptimal accuracy.
Innovation Solution
The system configures a specific model for each navigation component based on its performance characteristics, either by receiving calibration data or categorizing it into predefined performance categories to select a pre-configured model, allowing for customized modeling within the filter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a generalized model is used for navigation components, then the device complexity is reduced and ease of manufacture is improved, but the measurement precision and filter performance deteriorate
Solution Approach 1:
The patent segments the navigation component modeling by dividing it into multiple discrete models, each representing different performance categories of navigation components. Instead of using a single generalized model, the system creates separate models for different component types (e.g., different IMU models, GPS models) with specific characteristics tailored to each category, thereby improving measurement precision while managing complexity through structured segmentation
Solution Approach 2:
The patent applies local quality by customizing model parameters and characteristics to match specific navigation component performance categories. Each model is locally optimized with parameters that reflect the actual performance characteristics of components in that category (such as noise levels, bias stability, accuracy specifications), rather than using uniform generalized parameters across all components
2Reliability
If a generalized model is used for navigation components, then the ease of operation is improved, but the reliability and accuracy of the navigation system deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple discrete models with optimized parameters for different navigation component performance categories before runtime. During system operation, the appropriate pre-configured model is selected based on the actual component characteristics, eliminating the need for complex real-time model configuration or customization while maintaining high reliability and accuracy
Solution Approach 2:
The patent utilizes parameter changes by adjusting model parameters to match specific navigation component performance categories. Each discrete model contains parameters tailored to its intended component type (such as noise characteristics, bias values, accuracy metrics), allowing the system to adapt to different component qualities through parameter selection rather than complex reconfiguration
Data Source
AI summary
An inertial navigation system includes a navigation component, such as an inertial measurement unit, a processor in communication with the navigation component, and a filter embedded in computer code implemented within the processor. The filter includes a model of the navigation component, and one or more parameters of the model are configured after startup of the inertial navigation system based upon performance characteristics of the individual navigation component included in the inertial navigation system.


