Anomalies of the omnipresent earth magnetic (ie, geomagnetic) field in an indoor
environment, caused by local disturbances due to construction materials, give rise to noisy …

Opportunistic signals (eg, WiFi, magnetic fields, and ambient light) have been extensively
studied for low-cost indoor localization, especially via fingerprinting. We present an …

The time-varying, unstable nature of RF signals has limited the accuracy of RF-based indoor
positioning techniques such as Wi-Fi fingerprinting. Positioning errors of over 10 meters are …

Of the different branches of indoor localization research, WiFi fingerprinting has drawn
significant attention over the past decade. These localization systems function by comparing …

The existing RF signal based indoor localization techniques such as BLE or Wi-Fi
fingerprinting are hard to apply to large scale indoor environment such as airport and …

Indoor positioning systems (IPSs) are attracting more and more attention from the academia
and industry recently. Among them, approaches based on WiFi techniques are more …

The detection of indoor location based on magnetic fields collected by embedded sensors in
smartphones has been progressed rapidly. Most current approaches rely on the particle filter …

Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …

This paper shows the viability of precise indoor localization using physical layer information
in WiFi systems. We find that channel frequency responses across multiple OFDM sub …

The major challenge for accurate fingerprint-based indoor localization is the design of robust
and discriminative wireless signatures. Even though WiFi received signal strength indicator …