A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation

TL;DR

This paper introduces a fast-rate WLAN measurement tool that increases RSS data collection speed, improving indoor positioning accuracy and efficiency by reducing measurement misses during fingerprinting and navigation.

Contribution

The paper presents a novel fast-rate measurement collection method for WLAN-based indoor positioning systems, enhancing data acquisition speed and accuracy over traditional one-Hz sampling.

Findings

Higher probability of collecting RSS measurements within one second

Faster radio-map surveying process

Improved accuracy in indoor navigation

Abstract

Recently, location-based services (LBS) have steered attention to indoor positioning systems (IPS). WLAN-based IPSs relying on received signal strength (RSS) measurements such as fingerprinting are gaining popularity due to proven high accuracy of their results. Typically, sets of RSS measurements at selected locations from several WLAN access points (APs) are used to calibrate the system. Retrieval of such measurements from WLAN cards are commonly at one-Hz rate. Such measurement collection is needed for offline radio-map surveying stage which aligns fingerprints to locations, and for online navigation stage, when collected measurements are associated with the radio-map for user navigation. As WLAN network is not originally designed for positioning, an RSS measurement miss could have a high impact on the fingerprinting system. Additionally, measurement fluctuations require laborious signal processing, and surveying process can be very time consuming. This paper proposes a fast-rate measurement collection method that addresses previously mentioned problems by achieving a higher probability of RSS measurement collection during a given one-second window. This translates to more data for statistical processing and faster surveying. The fast-rate collection approach is analyzed against the conventional measurement rate in a proposed testing methodology that mimics real-life scenarios related to IPS surveying and online navigation.