An Absolute-Position-Aided Code Discriminator Towards GNSS Receivers for Multipath Mitigation

2021 ◽  
Author(s):  
Yiran Luo ◽  
Li-Ta Hsu ◽  
Yan Xiang ◽  
Bing Xu ◽  
Chunyang Yu
Keyword(s):  
Absolute Position ◽  
Multipath Mitigation ◽  
Gnss Receivers

scholarly journals A New Multipath Mitigation Method for GNSS Receivers Based on an Antenna Array

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Sébastien Rougerie ◽  
Guillaume Carrié ◽  
François Vincent ◽  
Lionel Ries ◽  
Michel Monnerat
Keyword(s):  
Satellite System ◽  
Navigation Satellite ◽  
Tracking Loop ◽  
Multipath Mitigation ◽  
Expectation Maximisation ◽  
Gnss Receivers ◽  
Reduced Complexity ◽  
And Performance ◽  
Global Navigation Satellite ◽  
Cramer Rao Bound

The well-known Space-Alternating Generalized Expectation Maximisation (SAGE) algorithm has been recently considered for multipath mitigation in Global Navigation Satellite System (GNSS) receivers. However, the implementation of SAGE in a GNSS receiver is a challenging issue due to the numerous number or parameters to be estimated and the important size of the data to be processed. A new implementation of the SAGE algorithm is proposed in this paper in order to reach the same efficiency with a reduced complexity. This paper focuses on the trade-off between complexity and performance thanks to the Cramer Rao bound derivation. Moreover, this paper shows how the proposed algorithm can be integrated with a classical GNSS tracking loop. This solution is thus a very promising approach for multipath mitigation.

A Bayesian Approach to Multipath Mitigation in GNSS Receivers

2009 ◽  
Vol 3 (4) ◽  
pp. 695-706 ◽  
Author(s):  
Pau Closas ◽  
Carles Fernandez-Prades ◽  
Juan A. Fernandez-Rubio
Keyword(s):  
Bayesian Approach ◽  
Multipath Mitigation ◽  
Gnss Receivers

scholarly journals Assessment Method of Multipath Mitigation Performance for GNSS Antenna with Receiver Algorithms

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Muzi Yuan ◽  
Du Li ◽  
Baiyu Li ◽  
Huaming Chen ◽  
Gang Ou
Keyword(s):  
Site Selection ◽  
Assessment Method ◽  
Positioning Error ◽  
Multipath Mitigation ◽  
Phase Errors ◽  
Gnss Receivers ◽  
Multipath Environment ◽  
Selection For ◽  
Multipath Signals ◽  
Receiver Algorithms

Multipath is one of the most important sources of positioning error in GNSS. Well-designed antennas can mitigate multipath signals and enhance the performance of GNSS receivers. This paper concentrates on methods to assess multipath mitigation performance for GNSS antennas. We propose a model to describe multipath environment in GNSS ground stations. The model analyzes effects caused by inclined reflective surfaces and multipath mitigating algorithms in receivers. A method to assess multipath mitigation performance is put forward by analyzing pseudorange code phase errors caused by multipath signals after signal processing. Based on the model and method, principles in site selection for GNSS antenna are introduced to minimize effects caused by multipath.

scholarly journals Nonlinear Bayesian Tracking Loops for Multipath Mitigation

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Pau Closas ◽  
Carles Fernández-Prades ◽  
José Diez ◽  
David de Castro
Keyword(s):  
Phase Lock Loop ◽  
Mathematical Framework ◽  
Bayesian Filtering ◽  
Simulation Framework ◽  
Propagation Channel ◽  
Multipath Mitigation ◽  
Delay Lock Loop ◽  
Tracking Loops ◽  
Gnss Receivers ◽  
Filtering Technique

This paper studies Bayesian filtering techniques applied to the design of advanced delay tracking loops in GNSS receivers with multipath mitigation capabilities. The analysis includes tradeoff among realistic propagation channel models and the use of a realistic simulation framework. After establishing the mathematical framework for the design and analysis of tracking loops in the context of GNSS receivers, we propose a filtering technique that implements Rao-Blackwellization of linear states and a particle filter for the nonlinear partition and compare it to traditional delay lock loop/phase lock loop-based schemes.

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