Research on Fingerprint Map Construction and Real-Time Update Method Based on Indoor Landmark Points

Area of Science:

• Indoor positioning systems
• Wireless sensor networks
• Geomatics engineering

Background:

• Inertial Navigation Systems (INS) offer high short-term accuracy but suffer from cumulative errors.
• WiFi offers ubiquitous indoor coverage but its fingerprint map accuracy degrades over time.
• Combining INS and WiFi is a key research area for indoor positioning.

Purpose of the Study:

• To address the challenge of real-time updating for WiFi fingerprint maps.
• To improve the reliability and long-term stability of indoor positioning systems.
• To overcome limitations in current real-time fingerprint map acquisition technologies.

Main Methods:

• Introduction of landmark points and definition of landmark point fingerprints for a novel fingerprint map database structure.
• Development of an inertial technology-based method for automatic recognition and collection of landmark point fingerprints.
• Implementation of real-time monitoring of signal fluctuations at landmark points and construction of error models for map updates.

Main Results:

• Achieved automatic and accurate collection of landmark point fingerprints, enhancing crowdsourcing data reliability.
• Enabled real-time and accurate updates of WiFi fingerprint maps through signal monitoring and error modeling.
• Demonstrated significant improvements in the long-term stability and reliability of fingerprint maps in real-world experiments.

Conclusions:

• The proposed method effectively solves the problem of real-time fingerprint map updating.
• Introducing landmark points and utilizing inertial technology enhances the robustness of indoor positioning.
• The approach significantly boosts the overall performance and dependability of INS/WiFi integrated indoor positioning systems.