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Kalman filter based localization in hybrid BLE-UWB positioning system

Signal Processing 2024-04-04 v1

Abstract

In this paper a concept of hybrid Bluetooth Low Energy (BLE) Ultra-wideband (UWB) positioning system is presented. The system is intended to be energy efficient. Low energy BLE unit is used as a primary source of measurement data and for most of the time localization is calculated based on received signal strength (RSS). UWB technology is used less often. Time difference of arrival (TDOA) values measured with UWB radios are periodically used to improve RSS based localization. The paper contains a description of proposed hybrid positioning algorithm. Results of simulations and experiments confirming algorithm's efficiency are also included.

Keywords

Cite

@article{arxiv.2404.02349,
  title  = {Kalman filter based localization in hybrid BLE-UWB positioning system},
  author = {Marcin Kolakowski},
  journal= {arXiv preprint arXiv:2404.02349},
  year   = {2024}
}

Comments

Originally presented at: 2017 IEEE International Conference on RFID Technology \& Application (RFID-TA), Warsaw, Poland, 2017

R2 v1 2026-06-28T15:42:26.778Z