Position Correction Using Movement Analysis for Indoor GPS
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing GPS-based position correction methods are insufficient in accuracy, particularly in indoor or high-rise building environments where satellite signals are unreliable, leading to significant errors in determining the actual position of a mobile terminal.
Innovation Solution
A system comprising an identifier and a corrector that processes multiple position information sets from a terminal device to accurately correct the first position information, using movement distance and acceleration analysis to determine and update position information, ensuring more precise location tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based position correction is performed using conventional methods, then position information can be corrected to some extent, but the correction accuracy remains insufficient, especially in indoor or high-rise building environments
Solution Approach 1:
The system performs preliminary actions by identifying and storing second position information from multiple pieces of position information obtained before the first position information. This preparatory step ensures that reliable reference position data is available when correction is needed, improving both accuracy and reliability in challenging environments.
Solution Approach 2:
The system introduces an intermediary mechanism by using identified second position information as a mediator between the unreliable first position information and the correction process. This intermediary reference data enables more accurate correction by providing a stable basis for comparing and adjusting position errors.
2Measurement precision
If multiple pieces of position information are collected and processed, then correction accuracy can be improved, but the processing complexity and computational load increase
Solution Approach 1:
The system applies segmentation by dividing the position information processing into distinct functional components: an identifier module that selects relevant second position information from multiple sources, and a corrector module that performs the actual correction. This segmentation simplifies the overall processing complexity while maintaining high accuracy.
Solution Approach 2:
The system implements local quality by applying different processing treatments to different pieces of position information. The identifier selectively identifies which previous position information pieces are suitable for correction based on their reliability and relevance, while the corrector applies correction only where needed. This localized approach improves accuracy without requiring complex processing of all position data.
Data Source
AI summary
Second position information is identified from a plurality of pieces of position information of a terminal device. The plurality of pieces of position information are obtained via a position information obtainer before first position information of the terminal device. The first position information is obtained via the position information obtainer. The second position information is used for correcting the first position information. The first position information is corrected based on the identified second position information.


