The GPS Easy Suite–Matlab code for the GPS newcomer

Borre, Kai

doi:10.1007/s10291-003-0049-3

Cited by 32 publications

(19 citation statements)

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“…Several iterations are done before obtaining the final solution. The basic approach is given in associated matlab routines published along with the paper by Borre (2003).…”

Section: Ionospheric Correctionmentioning

confidence: 99%

Positioning performance of the NTCM model driven by GPS Klobuchar model parameters

Hoque

Jakowski

Berdermann

2018

J. Space Weather Space Clim.

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Users of the Global Positioning System (GPS) utilize the Ionospheric Correction Algorithm (ICA) also known as Klobuchar model for correcting ionospheric signal delay or range error. Recently, we developed an ionosphere correction algorithm called NTCM-Klobpar model for single frequency GNSS applications. The model is driven by a parameter computed from GPS Klobuchar model and consecutively can be used instead of the GPS Klobuchar model for ionospheric corrections. In the presented work we compare the positioning solutions obtained using NTCM-Klobpar with those using the Klobuchar model. Our investigation using worldwide ground GPS data from a quiet and a perturbed ionospheric and geomagnetic activity period of 17 days each shows that the 24-hour prediction performance of the NTCM-Klobpar is better than the GPS Klobuchar model in global average. The root mean squared deviation of the 3D position errors are found to be about 0.24 and 0.45 m less for the NTCM-Klobpar compared to the GPS Klobuchar model during quiet and perturbed condition, respectively. The presented algorithm has the potential to continuously improve the accuracy of GPS single frequency mass market devices with only little software modification.

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“…Several iterations are done before obtaining the final solution. The basic approach is given in associated matlab routines published along with the paper by Borre (2003).…”

Section: Ionospheric Correctionmentioning

confidence: 99%

Positioning performance of the NTCM model driven by GPS Klobuchar model parameters

Hoque

Jakowski

Berdermann

2018

J. Space Weather Space Clim.

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“…Positions of MS and both RSs are shown in Table 4, and the satellites received by each reference station are summarized in Table 5. Note that the real Note that the MS data are obtained from the raw data recorded by the USRP B210 receiver and then post-processed using [19]. This shows the poor reception condition of the MS with respect to the two reference stations.…”

Section: Case Study 2: Cp Based On CD Using a Single Rs After 1 St Itmentioning

confidence: 99%

New Strategy of Collaborative Acquisition for Connected GNSS Receivers in Deep Urban Environments

Andrianarison¹,

Sahmoudi²,

Landry³

2018

POS

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Collaborative Positioning (CP) is a better localization technique used to locate a user in challenged environments, which is driven by the increasing presence of cellular phones and mobile devices in urban areas. The basic idea is that the mobile devices can cooperate with each other to improve their ability to determine their position. In this concept, a network of GNSS (Global Navigation Satellite System) receivers can collectively receive available satellite signals, and each receiver can receive signal measurements from other receivers via a communication link. This work shows how to use the Collective Detection (CD) approach to deal with the concept of collaborative or cooperative positioning. Specifically, this paper develops a new strategy allowing a receiver in deep urban environment to locate using the CD approach, while overcoming the implementation complexity problem. The idea consists in applying the CD approach in the case of multiple GNSS receivers to assist a receiver in a difficult situation. A typical case of two connected receivers assisting a receiver in difficulty in a deep urban area shows the effectiveness of this strategy. This strategy is tested with real GNSS signals to analyze its feasibility. The overall gain in complexity can reach up to 46% of what has been achieved in previous works.

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“…MATLAB M-files from [7] have been used along with other MATLAB files that have been written for the purpose of this work.…”

Section: Related Workmentioning

confidence: 99%

“…After receiving the roving GPS data from the stand alone GPS receiver, all data were stored in a special memory buffer in the correction station. Then the position of the roving receiver was computed into European Terrestrial Reference System 1989 (ETRS89) GPS coordinates format and into Cartesian coordinates X, Y, Z format [7][8].…”

Section: Correction Station Working Proceduresmentioning

confidence: 99%

A critical assessment for RINEX data from OS NET for GPS accuracy improvement

Nabhan

Masri

Balachandran

et al. 2008

2008 IEEE/ACS International Conference on Computer Systems and Applications

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In order to improve the GPS positioning accuracy for stand alone receivers, in a post processing mode, an experimental work was conducted based on GPS data obtained from Ordinance Survey network (OS NET). Data were collected and stored in a stationary location. Afterwards several differentially correction methods were performed using MATLAB. An accuracy average of 6 to 7 meters has been achieved. Results were analyzed and displayed using GEO-Media GIS software tool.

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The GPS Easy Suite–Matlab code for the GPS newcomer

Cited by 32 publications

References 0 publications

Positioning performance of the NTCM model driven by GPS Klobuchar model parameters

Positioning performance of the NTCM model driven by GPS Klobuchar model parameters

New Strategy of Collaborative Acquisition for Connected GNSS Receivers in Deep Urban Environments

A critical assessment for RINEX data from OS NET for GPS accuracy improvement

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