Rank Based Fingerprinting Algorithm for Indoor Positioning

This paper describes a novel RSS rank based fingerprinting algorithm for indoor positioning. Because RSS rank is invariant to bias and scaling, the algorithm provides the same accuracy for any receiver device, without the need for calibration. Similarity metrics to compare ranked vectors are introduced and their impact on positioning accuracy is investigated in experiments. Experimental results shown that the algorithm can achieve better accuracy than some commonly used fingerprinting algorithms.Peer reviewe