Kalman Filter based localization in hybrid BLE-UWB positioning system

被引：0
|
作者：
Kolakowski, Marcin [1 ]
机构：
[1] Warsaw Univ Technol, Inst Radioelect & Multimedia Technol, Warsaw, Poland
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON RFID TECHNOLOGY & APPLICATION (RFID-TA) | 2017年
关键词：
localization; UWB; BLE; Kalman Filter;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：290 / 293
页数：4
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