Researchers have shown that extended Kalman based interacting multiple model (EK-IMM) can significantly mitigate location estimation errors. In this study, we propose an EK-IMM smoother generalized for multi carrier systems. In our system, we use COST 231 Walfisch -Ikegami path loss model instead of street microcell path loss model in order to improve the applicability of the method. By implementing the new path loss model, we do not need to know distances from base stations to building corners, hence a database to hold building coordinates is not required. Via simulation results, we have shown that by implementing the new EK-IMM smoother in multi-carrier systems, location estimation accuracy can be improved by approximately 60%, making use of 48 subcarriers.
Keywords-Extended Kalman based interacting multiple model (EK-IMM), data fusion, mobile location estimation, WalfischIkegami model, line of sight (LOS), non-LOS (NLOS), multi carrier systems.
Content centric storage refers to a paradigm where data objects are accessed by applications through information about their content, rather than their path in a hierarchical structure. Applications are relieved from having knowledge about the data store organization or the place in a (physical) storage hierarchy. Instead, applications can use metadata associated with objects in order to to query for the desired content. In this paper, we explain the new functionality added to our first version of the content centric storage (Jaeger et al., 2012): We present a new REST API for the management of relations and the ability to use schemas for enforcing metadata. The need for such a content centric storage is presented with examples from the media production domain.
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