文章基本信息

标题：GPS-based Tracking over WSNs with Delayed and Missing Data using UFIR Filtering
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作者：Karen Uribe-Murcia ; Yuriy S. Shmaliy ; Amparo Andrade-Lucio 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：210
DOI：10.1051/matecconf/201821005002
语种：English
出版社：EDP Sciences
摘要：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, andH∞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 withk-step-lags. Better tracking performance of the UFIR filter is shown experimentally.