Localização em ambiente interno usando a rede celular
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Data
2024-07-15
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Universidade Federal de Goiás
Resumo
In this work, we propose an approach for Simultaneous Localization and Mapping (SLAM)
of the Mobile Station (MS) and scatterers (SCs) in indoor environments using the cellular
network. The approach, named IndoorLoc, employs a Single bounce scattering model and
treats signals as rays, representing each radio frequency signal originating from multiple
paths in an indoor environment where reflections occur at SCs. The estimation of the MS
and SCs positions involves three main stages: (1) channel modeling, employing millimeter
waves (mmWave) and a massive number of antennas (massive MIMO - mMIMO) arranged
in a rectangular array; (2) parameter estimation, using an adaptive method based on
Compressed Sensing (CS), the Distributed Compressed Sensing Simultaneous Orthogonal
Matching Pursuit (DCS-SOMP); and (3) localization of the MS and SCs, applying geometric
methods to detect Line of Sight (LoS) and Non-Line of Sight (NLoS) conditions and specific
algorithms for each of these conditions. For IndoorLoc, two geometric methods are proposed:
one for LoS conditions, which uses Time of Arrival (ToA) and Angle of Departure (AoD)
parameters to determine the direction of propagation and the distance between the BS
and the MS, and another for NLoS conditions, which uses ToA, AoD, and Angle of Arrival
(AoA) to determine intersection points of the trajectories. This intersection point serves
as the initial estimate of the MS localization and acts as an input for further refinement
using a Gauss-Newton-based estimator, which minimizes the localization error using a
nonlinear model derived from the ToA, AoD, and AoA parameters. The performance of
the localization algorithms is evaluated through comparisons of the Root Mean Square
Error (RMSE) values with existing methods in the literature. Additionally, simulations
were conducted in an indoor environment configured according to the specifications of the
3rd Generation Partnership Project (3GPP). The results demonstrate that the accuracy
of IndoorLoc meets the standards of the Federal Communications Commission (FCC) and
3GPP.
Descrição
Palavras-chave
Localização , Rede celular , 5G , DCS-SOMP , ToA , AoD , AoA , Ambiente interno , SLAM , Localization , Cellular network , Indoor environment
Citação
CONCEIÇÃO, P. F. Localização em ambiente interno usando a rede celular. 2024. 144 f. Tese (Doutorado em Engenharia Elétrica e de Computação) - Escola de Engenharia Elétrica, Mecânica e de Computação, Universidade Federal de Goiás, Goiânia, 2024.