Wireless Fingerprint and MEMS Sensor Fusion for Navigation
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Solution Overview
Problem
Current wireless fingerprinting-based navigation systems face limitations such as incomplete navigation solutions, dependence on wireless access points, inability to provide continuous high sampling rate positioning, and sensitivity to environmental fluctuations, while MEMS navigation systems are accurate only for short terms due to noise and require wireless signals to correct drifting.
Innovation Solution
Integration of wireless fingerprints and MEMS sensors through a navigation device and method that includes a wireless signal intensity data collecting and processing module, a sensor data collecting and processing module, and a data integrated module to fuse position information from both sources, using constrained fingerprinting and smoothing filters to improve accuracy and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless fingerprinting is used for positioning, then positioning accuracy is improved, but the system cannot provide complete navigation solution (three-dimensional position, velocity and attitude)
Solution Approach 1:
The patent combines wireless fingerprinting positioning with MEMS sensor-based navigation to create an integrated system. The wireless fingerprinting provides accurate position estimation while MEMS sensors provide velocity and attitude information, together forming a complete navigation solution that addresses all three dimensions of navigation requirements.
2Measurement precision
If wireless fingerprinting is used for positioning, then positioning accuracy is improved, but the system highly depends on APs distribution and available quantity
Solution Approach 1:
The patent introduces MEMS sensors as an intermediary component that can operate independently of wireless access points. When APs are unavailable or sparsely distributed, the MEMS navigation system provides continuous positioning based on inertial measurements, ensuring the system remains functional across diverse environmental conditions.
3Measurement precision
If wireless fingerprinting is used for positioning, then positioning accuracy is improved, but the system cannot provide smooth and continuous positioning solution with high sampling rate
Solution Approach 1:
The patent implements continuous positioning by fusing wireless fingerprinting results with MEMS sensor data. The MEMS sensors continuously track position at high sampling rates between wireless positioning updates, ensuring smooth and continuous navigation solutions without gaps in positioning information.
4Measurement precision
If wireless fingerprinting is used for positioning, then positioning accuracy is improved, but the wireless RSS value often fluctuates in severe environment
Solution Approach 1:
The patent employs feedback mechanisms where the integrated navigation system continuously monitors positioning quality and signal stability. When RSS fluctuations are detected in severe environments, the system adjusts by relying more on MEMS sensor data and less on wireless fingerprinting, maintaining reliable positioning despite signal variations.
5Adaptability or versatility
If MEMS navigation system is used, then complete navigation solution with high sampling rate is provided, but the system is accurate only for short term due to noises
Solution Approach 1:
The patent uses wireless fingerprinting positioning as a feedback reference to correct accumulated errors in the MEMS navigation system. By periodically comparing MEMS-derived position with wireless fingerprinting position, the system resets drift and maintains long-term accuracy while preserving the benefits of continuous high-rate MEMS navigation.
6Adaptability or versatility
If MEMS navigation system is used, then complete navigation solution with high sampling rate is provided, but wireless signals are needed to limit drifting
Solution Approach 1:
The patent merges MEMS navigation with wireless fingerprinting into an integrated system where each component complements the other. The MEMS sensors provide continuous navigation capability while wireless signals periodically correct drift, creating a synergistic system that achieves complete navigation solutions without excessive complexity.
Data Source
AI summary
An integration navigation device and method in which wireless signal strength data collecting and processing module obtains first position information of a target to be detected; a MEMS sensor data collecting and processing module obtains, according to state change information of the target to be detected, second position information of the target to be detected; a data integration module integrates the first position information and the second position information and feeds back the integrated result to the wireless signal strength data collecting and processing module and the MEMS sensor data collecting and processing module to perform data processing of the next moment.