Fading compensation for improved indoor RF tracking based on redundant RSS readings

Authors:
Andreas Fink;Helmut Beikirch
Affiliations:
Department of Computer Science and Electrical Engineering, Rostock University, Rostock, Germany;Department of Computer Science and Electrical Engineering, Rostock University, Rostock, Germany
Venue:
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Year:
2011

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Abstract

In partially hazardous environments a high reliable tracking of humans is of interest. For example, the monitoring of maintenance staff in the underground longwall mining - in particular close to heavy weight self-advancing hydraulic shields - is crucial to safe human lives. A centroid location estimation technique based on received signal strength (RSS) readings offers a well known and low-cost tracking solution in such a rough environment where many other systems with optical, magnetical or ultrasound sensors fail. A redundant RF communication concept using spatial and frequency diversity compensates the influence of multipath fading and leads to a more precise and high available tracking. The experimental results on a motion test track show that an improved tracking performance can be reached with low infrastructural costs.