UWB-Based Indoor Human Localization With Time-Delayed Data Using EFIR Filtering | Zendy

Yuan Xu | Zendy; Yuriy S. Shmaliy | Zendy; Yueyang Li | Zendy; Xiyuan Chen | Zendy

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UWB-Based Indoor Human Localization With Time-Delayed Data Using EFIR Filtering

Author(s) -

Yuan Xu,

Yuriy S. Shmaliy,

Yueyang Li,

Xiyuan Chen

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2743213

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

An ultra wide band (UWB)-based time-delay indoor human localization scheme is proposed to provide indoor human localization with time-delay measurements. The human position is localized using the UWB-based distance data and the extended finite impulse response (EFIR) estimator employing the timedelay localization model. Only one-step delayed measurements are considered in this paper. We employ the state augmentation method to combine the delayed and not delayed states. To improve the localization robustness for the time-delay localization model, we employ the EFIR filter, which does not require the noise statistics. The experimental results have shown that the EFIR estimator is more robust than the extended Kalman filter-based one for the delayed data.

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