Gyroscopic Bias Correction for Dead Reckoning Navigation
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Solution Overview
Problem
Existing navigation systems, such as GNSS-enabled personal navigation devices and electronic devices, face accuracy issues in areas with hindered signal transmission, like parking garages and urban canyons, due to sensor drift and yaw bias errors in MEMS and automobile sensors, limiting the duration of effective dead reckoning navigation.
Innovation Solution
A navigation system utilizing a speed sensor, yaw rate sensor, and error parameter engine to compute and select the optimal error parameter values for dead reckoning, applying these values to sensor data to enhance navigation accuracy in areas with limited GNSS signal availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dead reckoning navigation is used in areas with hindered GNSS signals, then navigation capability is maintained, but accuracy deteriorates due to sensor drift and yaw bias errors
Solution Approach 1:
The patent applies parameter changes by computing multiple possible positions using different yaw bias values and selecting the position that maximizes distance traveled in consistent directions. This changes the parameter of yaw bias from a fixed error source to a variable that is optimized through computation, thereby maintaining navigation accuracy despite sensor drift in GNSS-denied environments
Solution Approach 2:
The patent implements feedback by using the computed distance traveled in different directions to evaluate and select the optimal yaw bias value. The system continuously monitors direction consistency and uses this feedback to correct yaw bias errors, creating a closed-loop system that maintains accuracy over extended periods without GNSS signals
2Duration of action of moving object
If dead reckoning navigation is used for extended periods without GNSS signals, then navigation duration is extended, but accuracy deteriorates due to cumulative sensor errors
Solution Approach 1:
The patent extends navigation duration by dynamically adjusting the yaw bias parameter through computation. Instead of using a fixed bias value that would accumulate errors over time, the system recomputes optimal bias values based on direction consistency, allowing accurate navigation to continue for extended periods without GNSS signals
Solution Approach 2:
The patent applies preliminary action by computing multiple candidate positions using different yaw bias values before selecting the final position. This pre-computation of multiple possibilities allows the system to anticipate and correct for cumulative errors before they significantly degrade accuracy, enabling extended navigation duration
Data Source
AI summary
A disclosed method includes computing, for each of a plurality of values of at least one type of error parameter, a distance traveled for each of a plurality of directions of travel. The method includes selecting, from the plurality of values of the at least one type of error parameter, a value that provides a greatest distance traveled for any of the plurality of directions of travel relative to the unselected ones of the plurality of values. The method further includes applying the selected value of the at least one type of error parameter to gyroscopic sensor data, and then determining navigation information based on the gyroscopic sensor data with the selected value of the at least one type of error parameter applied.