Archivio Istituzionale della RicercaThis work proposes an adaptation of Advanced Receiver Autonomous Integrity Monitoring (ARAIM) algorithm for snapshot integrity monitoring in urban environment, using Kalman Filter (KF) as underlying positioning method. This new method can follow the changes of signal quality, maintaining good performance under the eect of multipath which is always presents in urban areas. Performance analysis using both simulated and real data validates the method, and comparison with conventional ARAIM algorithm (which was developed for aviation) further consolidates the suitability of the proposed method for urban scenario.
Kalman Filter-Based ARAIM Algorithm for Integrity Monitoring in Urban Environment / Tran, TRUNG HIEU; LO PRESTI, Letizia. - In: ICT EXPRESS. - ISSN 2405-9595. - (2019). [10.1016/j.icte.2018.05.002]
Kalman Filter-Based ARAIM Algorithm for Integrity Monitoring in Urban Environment
Trung Hieu Tran;Letizia Lo Presti
2019
Abstract
This work proposes an adaptation of Advanced Receiver Autonomous Integrity Monitoring (ARAIM) algorithm for snapshot integrity monitoring in urban environment, using Kalman Filter (KF) as underlying positioning method. This new method can follow the changes of signal quality, maintaining good performance under the eect of multipath which is always presents in urban areas. Performance analysis using both simulated and real data validates the method, and comparison with conventional ARAIM algorithm (which was developed for aviation) further consolidates the suitability of the proposed method for urban scenario.
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https://hdl.handle.net/11583/2706573
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