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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… Click to show full abstract
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 effect 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.
Journal Title: ICT Express
Year Published: 2019
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