Statistical Estimation of GNSS Pseudo-range Errors

Jgouta, Meriem; Nsiri, Benayad

doi:10.1016/j.procs.2015.12.027

Cited by 5 publications

(7 citation statements)

References 7 publications

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“…Knowledge about MP variability allows for a partial elimination of receiver and satellite clock errors and compensation for tropospheric and ionospheric delay (Hilla and Cline 2004). The multipath phenomenon has, for many years, been a subject of numerous studies whose main goal was the greatest possible elimination of the occurrence of oscillations (Weill 2003;Ragheb et al 2007;Ziedan 2011;Rabaoui et al 2012;Jgouta and Nsiri 2015). Proposed solutions find practical applications in new GNSS receivers, in both the structure of their electronics and construction of their antennas (Danskin et al 2009a;Cheng et al 2016b).…”

Section: Multipath Satellite Signal Phenomenonmentioning

confidence: 99%

Impacts of forest spatial structure on variation of the multipath phenomenon of navigation satellite signals

Brach

Stereńczak

Bolibok

et al. 2019

Folia Forestalia Polonica

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The GNSS (Global Navigation Satellite System) receivers are commonly used in forest management in order to determine objects coordinates, area or length assessment and many other tasks which need accurate positioning. Unfortunately, the forest structure strongly limits access to satellite signals, which makes the positioning accuracy much weak comparing to the open areas. The main reason for this issue is the multipath phenomenon of satellite signal. It causes radio waves reflections from surrounding obstacles so the signal do not reach directly to the GNSS receiver’s antenna. Around 50% of error in GNSS positioning in the forest is because of multipath effect. In this research study, an attempt was made to quantify the forest stand features that may influence the multipath variability. The ground truth data was collected in six Forest Districts located in different part of Poland. The total amount of data was processed for over 2,700 study inventory plots with performed GNSS measurements. On every plot over 25 forest metrics were calculated and over 25 minutes of raw GNSS observations (1500 epochs) were captured. The main goal of this study was to find the way of multipath quantification and search the relationship between multipath variability and forest structure. It was reported that forest stand merchantable volume is the most important factor which influence the multipath phenomenon. Even though the similar geodetic class GNSS receivers were used it was observed significant difference of multipath values in similar conditions.

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Section: Multipath Satellite Signal Phenomenonmentioning

confidence: 99%

Impacts of forest spatial structure on variation of the multipath phenomenon of navigation satellite signals

Brach

Stereńczak

Bolibok

et al. 2019

Folia Forestalia Polonica

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“…We will then use this modelling to perform matrix calculations to estimate positions (Jgouta and Nsiri, 2015). However, for the first estimators adapted to the GNSS, this will be possible after linearization.…”

Section: Modelling Statementioning

confidence: 99%

“…Therefore, it is advantageous to study that relative performance between those algorithms. A comparative analysis on standard estimation algorithms used in GNSS receiver has been shown in (Jgouta and Nsiri, 2015). Mean squared error (MSE) is used as performance measure.…”

Section: Introductionmentioning

confidence: 99%

“…Mean squared error (MSE) is used as performance measure. Even though the methods cited before in (Jgouta and Nsiri, 2015) are used vastly, in most cases they can't give a precise positioning estimate.…”

Section: Introductionmentioning

confidence: 99%

“…We saw previously that the Rao-Blackwellized Particle Filter (RBPF) reach good results in solving the nonlinear and non-Gaussian problems (Jgouta and Nsiri, 2015). Indeed, RBPF could not just ameliorate the estimate exactness but also diminish the general computational intricacy.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

GNSS Positioning Performance Analysis Using PSO-RBF Estimation Model

Jgouta

Nsiri

2017

Transport and Telecommunication Journal

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Positioning solutions need to be more precise and available. The most frequent method used nowadays includes a GPS receiver, sometimes supported by other sensors. Generally, GPS and GNSS suffer from spreading perturbations that produce biases on pseudo-range measurements. With a view to optimize the use of the satellites received, we offer a positioning algorithm with pseudo range error modelling with the contribution of an appropriate filtering process. Extended Kalman Filter, The RaoBlackwellized filter are among the most widely used algorithms to predict errors and to filter the high frequency noise. This paper describes a new method of estimating the pseudo-range errors based on the PSO-RBF model which achieves an optimal training criterion. This model is appropriate of its method to predict the GPS corrections for accurate positioning, it reduce the positioning errors at high velocities by more than 50% compared to the RLS or EKF methods.

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Analysis of the radio interference and measurement parameters impact on GNSS accuracy in forested areas

Shevchuk,

Manevich,

Losev

et al. 2024

G&C

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The authors present the results of studying the forest cover impact on the measurements accuracy made with the help of global navigation satellite systems at local geodynamic test sites. The study was held at the Nizhne-Kansk geodynamic polygon (Krasnoyarsk krai) in the period from 2010 to 2023. The main purpose was to investigate the wood vegetation influencing the GNSS measurements accuracy. Three classes of forest cover were defined

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Statistical Estimation of GNSS Pseudo-range Errors

Cited by 5 publications

References 7 publications

Impacts of forest spatial structure on variation of the multipath phenomenon of navigation satellite signals

Impacts of forest spatial structure on variation of the multipath phenomenon of navigation satellite signals

GNSS Positioning Performance Analysis Using PSO-RBF Estimation Model

Analysis of the radio interference and measurement parameters impact on GNSS accuracy in forested areas

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