On the Impact of A Priori Information on Localization Accuracy and Complexity

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Authors Montorsi, F.; Mazuelas S.; Vitetta, G.; Win M. Z.
Journal/Conference Name IEEE International Conference on Communications (ICC)
Paper Category
Paper Abstract Accuracy and complexity represent fundamental aspects of localization and tracking systems. In this manuscript the impact of a priori knowledge about agent position on the accuracy and the complexity of localization algorithms is investigated. In particular, first Cramer-Rao bounds on localization accuracy are derived under the assumption that a priori information is described by a map restricting the agent position to a specific region. Then, the computational complexity of optimal map-aware and map-unaware localization techniques is assessed. Our results evidence that: a) map-aware localization accuracy can be related to some geometrical features of the map but usually exhibits a complicated dependence on them; b) in some scenarios map-aware localization algorithms provide better accuracy than their map-unaware counterparts at comparable computational complexity.
Date of publication 2013
Code Programming Language MATLAB

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