Hybrid Wi-Fi/PDR Indoor Localization with Fingerprint Matching

TL;DR

This paper presents a hybrid indoor localization system combining Wi-Fi RSS fingerprinting with pedestrian dead reckoning, achieving practical and accurate indoor positioning.

Contribution

It introduces a novel hybrid system integrating fingerprint matching and dead reckoning for improved indoor localization.

Findings

System meets indoor positioning accuracy requirements

Effective integration of Wi-Fi fingerprinting and PDR

Demonstrated practical indoor localization performance

Abstract

Indoor position technology has become one of the research highlights in the Internet of Things (IoT), but there is still a lack of universal, low-cost, and high-precision solutions. This paper conducts research on indoor position technology based on location fingerprints and proposes a practical hybrid indoor positioning system. In this experiment, the location fingerprint database is established by using RSS signal in the offline stage, the location algorithm is improved and innovated in the online stage. The weighted k-nearest neighbor algorithm is used for location fingerprint matching and pedestrian dead reckoning technology is used for trajectory tracking. This paper designs and implements an indoor position system that performs the functions of data collection, positioning, and position tracking. Through the test, it is found that it can meet the requirements of indoor positioning.