| Issue |
MATEC Web Conf.
Volume 210, 2018
22nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 6 | |
| Section | Signal Processing | |
| DOI | https://doi.org/10.1051/matecconf/201821005002 | |
| Published online | 05 October 2018 | |
GPS-based Tracking over WSNs with Delayed and Missing Data using UFIR Filtering
Department of Electronics Engineering, Universidad de Guanajuato
* e-mail: karen.uribe15@gmail.com
** e-mail: shmaliy@ugto.mx
*** e-mail: andrade@ugto.mx
Vehicles tracking is organized to increase safety in smart cities by localizing cars using the Global Positioning System (GPS). The GPS-based system provides accurate tracking, but is also required to be reliable and robust. As a main estimator, we propose using the unbiased finite impulse response (UFIR) filter, which meets these needs as a more robust alternative to the Kalman filter (KF). The UFIR filter is developed for vehicle tracking in discrete-time state-space over wireless sensor networks (WSNs) with time-stamped discretely delayed on k-step-lags and missing data. The state-space model is represented in a way such that the UFIR filter, KF, and H∞ filter can be used universally. Applications are given for measurement data, which are cooperatively transferred from a vehicle to a central station through several nodes with k-step-lags. Better tracking performance of the UFIR filter is shown experimentally.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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