Reference Device-Assisted Adaptive Location Fingerprinting.

Area of Science:

• Wireless communication
• Indoor positioning systems
• Signal processing

Background:

• Location fingerprinting performance degrades in dynamic environments, necessitating frequent recalibration.
• Existing methods struggle with device heterogeneity and changing radio frequency (RF) signal characteristics.

Purpose of the Study:

• To develop an adaptive location fingerprinting approach that maintains performance in dynamic environments.
• To address challenges posed by device heterogeneity and changing environmental RF conditions.

Main Methods:

• Utilizing real-time received signal strength indicator (RSSI) samples from reference devices.
• Applying a modified Universal Kriging (UK) interpolant for adaptive radio map estimation.
• Employing a differential RSSI metric to compensate for heterogeneous device measurements.

Main Results:

• The proposed approach successfully adapts to dynamic environmental changes and evolving Access Point (AP) positions.
• Demonstrated robustness against measurement discrepancies arising from heterogeneous reference devices.
• Validated through extensive experiments in an indoor testbed.

Conclusions:

• The adaptive location fingerprinting method enhances system performance in challenging, dynamic RF environments.
• The approach offers a robust solution for indoor positioning systems dealing with device heterogeneity.
• This work contributes to more reliable and accurate real-time location services.