ArticleSensors (Basel, Switzerland)2022
Localization in Structured Environments with UWB Devices without Acceleration Measurements, and Velocity Estimation Using a Kalman-Bucy Filter.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Real-Time Monitoring of Underground Miners' Status Based on Mine IoT System.Sensors (Basel, Switzerland) · 2024Article
- MAV Localization in Large-Scale Environments: A Decoupled Optimization/Filtering Approach.Sensors (Basel, Switzerland) · 2023Article
- Weigh-in-Motion System Based on an Improved Kalman and LSTM-Attention Algorithm.Sensors (Basel, Switzerland) · 2022Article
- Research on Attitude Detection and Flight Experiment of Coaxial Twin-Rotor UAV.Sensors (Basel, Switzerland) · 2022Article
- Precision Seeding Compensation and Positioning Based on Multisensors.Sensors (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
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Abstract
In this work, a novel scheme for velocity and position estimation in a UWB range-based localization system is proposed. The suggested estimation strategy allows to overcome two main problems typically encountered in the localization systems. The first one is that it can be suitable for use in environments where the GPS signal is not present or where it might fail. The second one is that no accelerometer measurements are needed for the localization task. Moreover, to deal with the velocity estimation problem, a suitable Kalman-Bucy filter is designed and it is compared, experimentally, with a particle filter by showing the features of the two algorithms in order to be used in a localization context. Additionally, further experimental tests are carried out on a suitable developed test setup in order to confirm the goodness of the proposed approach.
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