This paper deals with the localization of passive stationary objects from the received radio- frequency (RF) signals in 3-dimensional (3D) indoor environments. Each object located in the 3D indoor environment is modelled by a single point scatterer. The propagation space is equipped with a multiple-input multiple-output (MIMO) wireless communication system. The employed channel model is flexible and allows to have a line-of-sight (LOS) component as well as single- and double- bounce scattering components. Here, we present a new accurate iterative estimation technique for computing the optimal coordinates as well as the number of the main stationary objects (scatterers) in indoor areas. The proposed approach aims at matching the frequency correlation function (FCF) of the transfer function (TF) of the received RF signals to the FCF of the channel model. This iterative procedure is based on numerical optimization techniques to estimate the number and coordinates of the scatterers and the channel parameters by minimizing the Euclidean norm of the fitting error. Numerical results are presented to confirm the accuracy of the proposed estimation procedure by comparing the estimated positions as well as the resulting FCF with the corresponding exact quantities, known from generated RF signals.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A New Iterative Estimation Procedure for the Localization of Passive Stationary Objects from Received RF Signals in Indoor Environments


    Contributors:


    Publication date :

    2019-09-01


    Size :

    304729 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Compensation of Signals from Stationary Objects

    Akmaykin, Denis Alexandrovich / Bolelov, Eduard Anatolyevich / Kozlov, Anatoliy Ivanovich et al. | Springer Verlag | 2021



    Indoor Intelligent Vehicle localization using WiFi received signal strength indicator

    Nguyen Dinh-Van, / Nashashibi, Fawzi / Nguyen Thanh-Huong, et al. | IEEE | 2017


    Passive Identification is Non Stationary Objects with Closed Loop Control

    Dyadik, Valeriy F. / Nadezhdin, Igor S. / Goryunov, Alexey G. et al. | BASE | 2016

    Free access