Journal ArticleDOI
A Robust Shadow Matching Algorithm for GNSS Positioning
Roi Yozevitch,Boaz Ben Moshe +1 more
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TLDR
This work presents a general framework for a Shadow Matching positioning algorithm based on a modified particle filter that can be efficiently extended to 3D positioning in high sampling rate, inherently applicable for UAVs and Drones.Abstract:
Commercial GNSS devices tend to perform poorly in urban canyon environments. The dense and tall buildings block the signals from many of the satellites. In this work, we present a particle filter algorithm for a Shadow Matching framework to face this problem. Given a 3D city map and given the satellites' signal properties, the algorithm calculates in real-time invalid regions inside the Region Of Interest (ROI). This approach reduces the ROI to a fraction of its original size. We present a general framework for a Shadow Matching positioning algorithm based on a modified particle filter. Using simulation experiments we have shown that the suggested method can improve the accuracy of existing GNSS devices in urban regions. Moreover, the proposed algorithm can be efficiently extended to 3D positioning in high sampling rate, inherently applicable for UAVs and Drones. Copyright © 2015 Institute of Navigation.read more
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LTE receiver design and multipath analysis for navigation in urban environments
Kimia Shamaei,Zaher M. Kassas +1 more
TL;DR: A computationally-efficient receiver, which uses a phase-locked loop (PLL)-aided delay- Locked loop (DLL) to track the received LTE signals is presented, demonstrating robust multipath mitigation for high transmission LTE bandwidths.
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Analysis and modeling GPS NLOS effect in highly urbanized area
TL;DR: An algorithm to detect NLOS signals from the pseudorange measurements by using a 3D building model, ray-tracing simulation, and known receiver position is developed and an innovative NLOS model using two variables, the elevation angle and the distance between the receiver and building that reflect the NLOS is proposed.
Journal ArticleDOI
Intelligent GNSS/INS integrated navigation system for a commercial UAV flight control system
Guohao Zhang,Li-Ta Hsu +1 more
TL;DR: The results show that the proposed adaptive Kalman filter using random forest with fuzzy logic can achieve a better classification of GNSS accuracy compared to the others.
Journal ArticleDOI
Likelihood-based GNSS positioning using LOS/NLOS predictions from 3D mapping and pseudoranges
Paul D. Groves,Mounir Adjrad +1 more
TL;DR: A likelihood-based 3D-mapping-aided GNSS ranging algorithm is demonstrated that enables signals predicted to be non-line-of-sight (NLOS) to contribute to the position solution without explicitly computing the additional path delay due to NLOS reception, which is computationally expensive.
Proceedings ArticleDOI
GNSS positioning in non-line-of-sight context—A survey
TL;DR: This work develops a taxonomy of the technical design for GNSS applications dealing with NLOS and a typology of the measuring instruments based on an extensive analysis of the state of the art for further research activities in robust GNSS positioning.