Enhancing INS/UWB Integrated Position Estimation Using Federated EFIR Filtering

In order to obtain accurate position information, a federated extended finite impulse response (EFIR) filter which includes sub-filters and main filter is proposed for inertial navigation system (INS)/ultrawideband (UWB)-integrated human positioning in this paper. Here, the EFIR filter is employed a...

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Bibliographic Details
Main Authors: Yuan Xu, Guohui Tian, Xiyuan Chen
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8513805/
Description
Summary:In order to obtain accurate position information, a federated extended finite impulse response (EFIR) filter which includes sub-filters and main filter is proposed for inertial navigation system (INS)/ultrawideband (UWB)-integrated human positioning in this paper. Here, the EFIR filter is employed as the sub-filter, which is able to fusion the UWB- and INS-measured distances between the reference nodes and the target human. The main filter is used to provide the optimal INS position error estimation by fusing the outputs of the sub-filters, which is able to correct the INS position. The test results show that the performance of the proposed method is better than the traditional federated extended Kalman filter in position accuracy.
ISSN:2169-3536