The Analyzes of PDOP Factors for a Zigbee Ground – Based Augmentation Systems

Janowski, Artur; Rapiński, Jacek

doi:10.1515/pomr-2017-0028

Cited by 5 publications

(5 citation statements)

References 26 publications

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“…The process can be repeated for many places in the area where the sky is obstructed, and the optimal location of transceivers can be selected. The approach is similar to the one presented in [7]. The area considered for augmentation can be covered with a grid of simulated receiver locations.…”

Section: Discussionmentioning

confidence: 99%

“…Regardless of the distance measurement technology, additional distance observation should result in geometry improvement, which can be evaluated using DOP factors [7]. The position of the additional transmitter must be carefully selected in order to obtain the optimal DOP value (understood as its maximum possible improvement referenced to the DOP value without augmentation transceiver).…”

Section: Introductionmentioning

confidence: 99%

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The Optimal Location of Ground-Based GNSS Augmentation Transceivers

Rapiński

Janowski

2019

Geosciences

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Modern Global Navigation Satellite Systems (GNSS) allow for positioning with accuracies ranging from tens of meters to single millimeters depending on user requirements and available equipment. A major disadvantage of these systems is their unavailability or limited availability when the sky is obstructed. One solution is to use additional range measurements from ground-based nodes located in the vicinity of the receiver. The highest accuracy of distance measurement can be achieved using ultra wide band (UWB) or ZigBee phase shift measurement. The position of the additional transmitter must be carefully selected in order to obtain the optimal improvement in the dilution of precision (DOP), which reflects the improvement in the geometry of solution. The presented case study depicts a method for selecting the optimal location of a ground-based ranging source. It is based on a search of a minimum DOP value as a transmitter location function. The parameters of objective function are the elevation and azimuth of the transceiver. The solution was based on a limited-memory Broyden–Fletcher–Goldfarb–Shanno with Box constraints (L-BFGS-B) method and a numerical optimization algorithm for parameter value estimation. The presented approach allows for the selection of the optimal location of a ground-based source of ranging signals in GNSS processing from a geometry of solution point of view. This can be useful at the design stage of an augmentation network of ground-based transceivers. This article presents a theoretical basis and a case study presenting the selection of the optimal location of a ground-based ranging source.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Optimal Location of Ground-Based GNSS Augmentation Transceivers

Rapiński

Janowski

2019

Geosciences

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“…When measured distance is greater than one cycle phase ambiguities must be taken into account. It can be resolved using TOF ranging or some search method [14].…”

Section: Zigbee Phase-shift Measurementsmentioning

confidence: 99%

ZigBee phase shift measurement approach to mobile inspection robot indoor positioning techniques

Śmieja¹

2018

Diagnostyka

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This paper presents the new approach to ZigBee ranging against the background of currently using techniques. This new approach involves a phase shift measurement instead of standard time of arrival or radio signal strength approaches. The ZigBee device used in this study and preliminary tests of ranging and positioning performed using phase shift measurements are presented. The positioning results encourages for further research on the performance verification and algorithms for processing of ranging results.

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“…The differential GNSS (DGNSS) technique, which basically requires a reference station (Correa Muñoz and Cerón-Calderón 2018), is widely used to eliminate or mitigate these errors. Besides, GNSS performance can be improved through various factors such as the number of satellites (NOS) (Lemmon and Gerdan 1999, Specht et al 2015, Davidovic and Mijic 2017 and position dilution of precision (PDOP) (Nie et al 2016, Biswas et al 2017, Janowski and Rapinski 2016, Han et al 2014, Teng and Wang 2015 (i.e., satellites configuration), cut-off angle (Teunissen et al 2013), recording interval (Yousef and Alemam 2014), occupation time (Mohamed 2015, McGaughey et al 2017, and GNSS constellations (El Manaily et al 2017, Rabbou andEl-Rabbany 2015).…”

Section: Introductionmentioning

confidence: 99%

Integration of Artificial Neural Network and the Optimal GNSS Satellites’ Configuration for Improving GNSS Positioning Techniques (A Case Study in Egypt)

Alemam

Yong

Mohammed

2022

Artificial Satellites

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Nowadays, theglobal navigation satellite system (GNSS) positioning techniques based on the International GNSS Service (IGS) products are extensively used for various precise applications. However, specific conditions such as the dual-frequency observations and the final IGS products are required. Consequently, the absence of the final IGS data and using single-frequency observations will degrade these techniques’ accuracy. In this paper, two algorithms through two separated stages are formulated for improving the single-frequency GNSS observations by using one GNSS receiver based on the broadcast ephemerides in real time or close to real time. The first algorithm represents the preparation stage for the second one. It classifies the observations by separating the optimal values of position dilution of precision (PDOP) and the number of satellites (NOS), as well as the corresponding values of coordinates. The second stage includes an algorithm based on the artificial neural network (ANN) approach, which is set at the ANN variables that produce the best precision through the applied tests at the present study. Binary numbers, log sigmoid-Purelin, cascade forward net, and one hidden layer with a size of 10 neurons are the optimal variables of ANN inputs format, transfer functions constellations, feedforward net type, and the number of hidden layers (NHL) and its size, respectively. The simulation results show that the designed algorithms produce a significant improvement in the horizontal and vertical components. Lastly, an evaluation stage is performed in the case of dual-frequency observations by using broadcast ephemerides. The simulation outputs indicate that the precision at applying the proposed integration is completely enhanced compared with the outputs of IGS final data.

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The Analyzes of PDOP Factors for a Zigbee Ground – Based Augmentation Systems

Cited by 5 publications

References 26 publications

The Optimal Location of Ground-Based GNSS Augmentation Transceivers

The Optimal Location of Ground-Based GNSS Augmentation Transceivers

ZigBee phase shift measurement approach to mobile inspection robot indoor positioning techniques

Integration of Artificial Neural Network and the Optimal GNSS Satellites’ Configuration for Improving GNSS Positioning Techniques (A Case Study in Egypt)

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