Fingerprint localization using WLAN RSS and magnetic field with landmark detection

Abstract

In this paper, we proposed an indoor localization technique which use WLAN fingerprint and magnetic field fingerprint with landmarks detection. First, we use WLAN RSS fingerprint and magnetic field fingerprint to improve fingerprint's spatial and time characterization and localization accuracy. Second against the special position like stairs, elevators, etc., we mark the special position as landmarks and use the accelerometer sensor data to detect whether the user is in the special position. Through landmarks detection we can reduce the impact of the limitations of location fingerprinting positioning effectively and improve the localization algorithm's efficiency. Experimental results show that, compared to a single widely used WLAN RSS fingerprint localization algorithm, the proposed algorithm can effectively improve the accuracy and efficiency of indoor location.