Abstract
Position information is important for spatial information grids. In accurate position of datum may lead to mistake decisions or even disastrous actions. In this paper, we study the problem of localization for spatial information grid in underwater environments. There are many challenges facing the localization in underwater environments, because the unavailability of radio frequency. Besides, there are various uncontrolled effects disturbing distance estimation, hence degrades the accuracy of localization in underwater environments. We devise a new method to map distance information to measurement error in a virtual frame composed with beacons. Furthermore, we propose a linear transformation to infer the measurement error by which appropriate adjustments can be obtained to make accurate distance estimation. Simulation result show that the method proposed in this paper outperforms DV-Distance, especially when the number of beacons is low.
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