Stochastic Data Association for Multipath Assisted Positioning Using a Single Transmitter

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00340285" target="_blank" >RIV/68407700:21230/20:00340285 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ACCESS.2020.2977558" target="_blank" >https://doi.org/10.1109/ACCESS.2020.2977558</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2020.2977558" target="_blank" >10.1109/ACCESS.2020.2977558</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Stochastic Data Association for Multipath Assisted Positioning Using a Single Transmitter

Popis výsledku v původním jazyce

This paper builds on and extends the Channel-SLAM algorithm which exploits a multipath radio channel for the position estimation of mobile receivers. Channel-SLAM treats Multipath Components (MPCs) as Line-of-sight (LoS) signals originating from Virtual Transmitters (VTs) and estimates the positions of VTs and receiver simultaneously based on Bayesian filtering. The current Channel-SLAM implementation does not involve the retracking of previous MPCs or VTs. Therefore, when the tracking of an MPC is lost and, subsequently, regained, the corresponding VT is initialized without any prior information. Incorporating a stochastic data association algorithm extends Channel-SLAM and enables the retracking of VTs even when the MPC has been lost. The proposed algorithm increases positioning reliability, decreases computation complexity, and improves the precision of Channel-SLAM. Additionally, this paper presents a novel transition model using inertial sensors for a hand-held device for moving pedestrians. The developed positioning algorithm is evaluated based on measurement data obtained in an indoor scenario using an off-the-shelf Ultra-WideBand (UWB) module. Evaluations show that accurate position estimation can be done using only one physical transmitter and without requiring any knowledge of the physical transmitter position.

Název v anglickém jazyce

Stochastic Data Association for Multipath Assisted Positioning Using a Single Transmitter

Popis výsledku anglicky

This paper builds on and extends the Channel-SLAM algorithm which exploits a multipath radio channel for the position estimation of mobile receivers. Channel-SLAM treats Multipath Components (MPCs) as Line-of-sight (LoS) signals originating from Virtual Transmitters (VTs) and estimates the positions of VTs and receiver simultaneously based on Bayesian filtering. The current Channel-SLAM implementation does not involve the retracking of previous MPCs or VTs. Therefore, when the tracking of an MPC is lost and, subsequently, regained, the corresponding VT is initialized without any prior information. Incorporating a stochastic data association algorithm extends Channel-SLAM and enables the retracking of VTs even when the MPC has been lost. The proposed algorithm increases positioning reliability, decreases computation complexity, and improves the precision of Channel-SLAM. Additionally, this paper presents a novel transition model using inertial sensors for a hand-held device for moving pedestrians. The developed positioning algorithm is evaluated based on measurement data obtained in an indoor scenario using an off-the-shelf Ultra-WideBand (UWB) module. Evaluations show that accurate position estimation can be done using only one physical transmitter and without requiring any knowledge of the physical transmitter position.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Svazek periodika

8

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

46735-46752

Kód UT WoS článku

000524577400023

EID výsledku v databázi Scopus

2-s2.0-85082121905