A New Iterative Procedure for the Localization of a Moving Object/Person in Indoor Areas from Received RF Signals

This paper presents a new iterative estimation method to localize a single moving object or person in non-stationary 3-dimensional (3D) indoor environments from received radiofrequency (RF) signals. The moving object/person is modelled by a moving single point scatterer. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. This work starts by introducing a new geometrical channel model which considers the effects of the line-of-sight (LOS) component, the fixed objects located in a room, and the moving object (point scatterer). Then, we present an iterative estimation technique for computing the time-variant (TV) coordinates of the moving scatterer. The proposed approach determines the optimal TV coordinates of the moving scatterer by matching the TV transfer function (TVTF) of the received RF signals to the TVTF of the non-stationary channel model. The proposed procedure relies on numerical optimization techniques to estimate the TV position of the moving scatterer by minimizing the Euclidean norm of the fitting error. A comparison of the estimated TV position of the moving scatterer with the corresponding exact quantities, known from generated RF signals, confirms the validity of the proposed approach.

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