10.18453/rosdok_id00001632 Fink, Andreas Andreas Fink http://d-nb.info/gnd/107969109X Universität Rostock 2015 620 Engineering & allied operations 004 Data processing Computer sciences 2015 en http://purl.uni-rostock.de/rosdok/id00001632 urn:nbn:de:gbv:28-diss2015-0182-3 Possible solutions and novel methods to expand the capabilities of indoor local positioning using RSS-based ranging are proposed and discussed in the thesis. Redundant RSS sensor readings using a diversity radio module and an adapted radio propagation model for tunnel environments are used to compensate the multipath fading behavior for a more accurate ranging. With an improved weighted centroid localization approach and additional plausibility filter techniques for position estimates, a reliable tracking in indoor multipath environments is feasible using low-cost infrastructure components.