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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 propose an estimation scheme to overcome singularities which may deteriorate time difference of arrival (TDoA) based localization accuracy when using least square (LS) estimator. The solution is based on total least square (TLS) estimator. We provide an algorithm of localization which exploits the rank and the condition number of matrices in order to enhance accuracy. The Monte Carlo...
In this paper, localization based on Received Signal Strength (RSS) is investigated assuming a path loss log normal shadowing model. On the one hand, indirect RSS-based estimation schemes are investigated; these schemes are based on two steps of estimation: estimation of ranges from RSS and then estimation of position using weighted least square approximation. We show that the performances of this...
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