Segment-Specific Distance Correction for Vehicle Transceivers
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Solution Overview
Problem
Existing methods for determining the distance between mobile and fixed transceivers using radio signals are inaccurate due to variations in signal power and orientation, leading to errors in vehicle positioning, and current correction functions are either complex and time-consuming or less accurate.
Innovation Solution
A method using a correction function that is both simple and rapid to implement, involving a Kalman filter to update correction coefficients based on measured transmission and reception times, combined with a correction function specific to each segment of a predefined path, to enhance distance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complex and accurate correction function is used to determine the distance between transceivers, then the measurement precision is improved, but the device complexity and execution time increase
Solution Approach 1:
The path is divided into multiple segments, with each segment having its own simplified correction function. This segmentation allows the system to use simple linear correction functions for each segment while maintaining overall accuracy, avoiding the need for a single complex correction function that would be difficult to implement and time-consuming to execute.
2Productivity
If a simple correction function is used to determine the distance between transceivers, then the ease of operation and execution speed are improved, but the measurement precision decreases
Solution Approach 1:
By dividing the path into segments and assigning simple correction functions to each, the system achieves both simplicity and speed in execution while maintaining accuracy. Each segment's correction function is simple enough for rapid execution but collectively they provide accurate distance determination throughout the entire path.
Solution Approach 2:
Different correction functions are applied to different segments of the path based on local characteristics. This allows each segment to have optimized correction parameters tailored to its specific environment, maintaining high measurement precision while using simple linear functions that execute rapidly.
3Measurement precision
If a complex correction function with many parameters is used, then the measurement precision is improved, but the ease of manufacture and implementation difficulty worsen
Solution Approach 1:
The complex correction problem is divided into multiple simple linear correction functions, one for each path segment. This segmentation makes implementation easier because each segment's correction function has fewer parameters and is simpler to calibrate, while collectively they maintain high measurement precision.
Solution Approach 2:
The correction approach changes from using a single complex function with many parameters to using multiple simple linear functions with fewer parameters each. This parameter reduction simplifies implementation and calibration while maintaining accuracy through the segmented approach.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method provides accurate vehicle positioning without compromising execution speed, using a simple correction function that adapts to varying conditions and reduces measurement errors.
Implementation Method 1
These radio signals are electromagnetic waves that propagate at the speed of light
Implementation Method 2
A method that uses a system with a programmable electronic computer and a Kalman filter to implement a correction function
Data Source
AI summary
A method determines a corrected distance between a mobile transceiver fastened to a vehicle and a fixed transceiver. The method includes: identification, among a set of predetermined path segments, of the segment on which the vehicle is currently found on the basis of the last position determined for this vehicle, then selection of a correction function specifically associated with the identified segment using a table that associates, with each path segment, a respective correction function, then execution of the identified correction function to obtain a current correction coefficient for correcting a raw distance computed from transmission and reception times of the radio signals exchanged between the fixed and mobile transceivers, then correction of the last raw distance computed using the current correction coefficient to obtain the corrected distance.