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In this paper, we exploit the semidefinite programming and the Cramer Rao lower bound techniques to study the hybrid fusion of RSSI and TOA. A semidefinite program is developed to fuse these two location-dependent parameters. The Cramer Rao lower bound expressions are also developed in order to assess theoretical performances of the RSSI and TOA fusion. In order to evaluate this localization scheme,...
In this paper, the problem of uncertainty on reference nodes positions is addressed in the context of hybrid data fusion techniques for localization. This problem arises in B3G networks where different location-dependent observables come from heterogeneous Radio Access Networks (RAN) leading to different levels of uncertainty on both ranges and anchor nodes positions. We assume a Gaussian model on...
In this paper, we exploit the concept of data fusion in UWB (ultra wide band) localization systems by using different location-dependent observables. We combine ToA (time of arrival) and RSS (received signal strength) in order to get accurate positioning algorithms.We assume that RSS observables are usually available and we study the effect of adding ToA observables on the positioning accuracy. The...
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