iBeacon/WiFi Signal Characteristics Analysis for Indoor Positioning Using Mobile Phone

摘要

Mobile phone equipped with WiFi, Bluetooth, MEMS-IMU, and other sensors is a perfect platform to provide location based service for personal users. For positioning using wireless signals, the fingerprints of received signal strength (RSS) measurements from access points (APs) are typically used, which are called fingerprinting methods. The main characteristic of the fingerprint positioning technologies is to calculate the similarities between the observed RSS and the known RSS fingerprints. Compared with WiFi, the iBeacon APs are with lower cost, smaller size, and more flexible location, so it is much more suitable and economic for applications where enough WiFi APs are not available. In this paper, the RSS noise characteristics of iBeacon and WiFi signals are compared. The fingerprinting positioning performance by using iBeacon and WiFi RSS measurements are further presented and evaluated.