Comparison of Extended and Unscented Kalman Filters Performance in a Hybrid BLE-UWB Localization System

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1. Verfasser: Kolakowski, Marcin
Format: Preprint
Veröffentlicht: 2024
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author Kolakowski, Marcin
author_facet Kolakowski, Marcin
contents The paper presents a comparison of performance of two Kalman Filters: extended Kalman filter (EKF) and unscented Kalman filter (UKF) in a hybrid Bluetooth-Low-Energy-ultra-wideband (BLE-UWB) based localization system. In the system, the user is localized primarily based on Received Signal Strength (RSS) measurements of BLE signals. The UWB part of the system is periodically used to improve localization accuracy by supplying the algorithm with measured UWB packets time difference of arrival (TDOA). The proposed scheme was experimentally validated using two algorithms: the EKF and the UKF. The localization accuracy of both algorithms is compared.
format Preprint
id arxiv_https___arxiv_org_abs_2404_03077
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Comparison of Extended and Unscented Kalman Filters Performance in a Hybrid BLE-UWB Localization System
Kolakowski, Marcin
Signal Processing
The paper presents a comparison of performance of two Kalman Filters: extended Kalman filter (EKF) and unscented Kalman filter (UKF) in a hybrid Bluetooth-Low-Energy-ultra-wideband (BLE-UWB) based localization system. In the system, the user is localized primarily based on Received Signal Strength (RSS) measurements of BLE signals. The UWB part of the system is periodically used to improve localization accuracy by supplying the algorithm with measured UWB packets time difference of arrival (TDOA). The proposed scheme was experimentally validated using two algorithms: the EKF and the UKF. The localization accuracy of both algorithms is compared.
title Comparison of Extended and Unscented Kalman Filters Performance in a Hybrid BLE-UWB Localization System
topic Signal Processing
url https://arxiv.org/abs/2404.03077