Robust methods for AOA geo-location in a real-time indoor WiFi system

  • Authors:

  • Chin-Heng Lim;Boon Poh Ng;Duan Da

  • Affiliations:

  • Temasek Laboratories, Nanyang Technological University, Singapore;Temasek Laboratories, Nanyang Technological University, Singapore,School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

  • Venue:
  • Journal of Location Based Services
  • Year:
  • 2008

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Abstract

Indoor localisation technologies have received considerable attention in recent years and they are applicable in many fields. As with outdoor systems, they both suffer a degradation in performance when multi-path errors are present. Applications include locating essential equipment in hospitals and specific items in warehouses, tracking people with special needs, who are away from visual supervision, and navigating fire-fighters inside buildings. In this article, we study issues associated with the implementation of a real-time Wireless Fidelity (WiFi) localisation system for an indoor environment. In particular, we present robust techniques to mitigate the effects of the multi-path errors. This system utilises smart antennas to determine the signal strength information from a mobile target (MT) (access point) and send the information to a data processing station. This information is combined to find the direction of arrival of the signal and triangulate the MT position. No prior finger-printing is required, as this system avoids the use of an off-line training phase, which is computationally intensive and requires a big database. This approach is more computationally efficient and non-data intensive. Experimental results show an improvement in the accuracy of the localisation system over conventional techniques.