Analysis of DOP and its preciseness in GNSS position estimation

Tahsin, Mahdia; Sultana, Sunjida; Reza, Tasmia; Hossam-E-Haider,

doi:10.1109/iceeict.2015.7307445

Cited by 48 publications

(32 citation statements)

References 2 publications

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“…Although there is no common agreement on the terminology describing the quality of navigation performance based on DOP coefficient values, DOP values are characterized in this study with respect to similar works in the literature [18,19] and our test results as shown in Table 2. (5) where θ (1,2,3,4) and ϕ (1,2,3,4) are the elevations and azimuths of the best four satellites for DOP calculations.…”

Section: Gdop = Pdop + Tdop Pdop = Hdop + Vdop mentioning

confidence: 99%

“…Usage of DOP fields in addition to the conventional potential field method is suggested in [17] as one of the most recent and prospective examples of UAV path planning in known urban areas. Geometric DOP and the number of visible satellites were simulated for two different constellations, GPS and Galileo, and three different cut-off elevations at a specific time and position in [18]. Work [19] also provides a distribution of DOP coefficients and the number of visible satellites for GPS, Galileo, GLONASS and BeiDou under two different elevation levels.…”

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confidence: 99%

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Integrity Analysis for GPS-Based Navigation of UAVs in Urban Environment

et al. 2020

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The increasing use of Unmanned Aerial Vehicles (UAVs) in safety-critical missions in both civilian and military areas demands accurate and reliable navigation, where one of the key sources of navigation information is presented by Global Navigation Satellite Systems (GNSS). In challenging conditions, for example, in urban areas, the accuracy of GNSS-based navigation may degrade significantly due to user-satellite geometry and obscuration issues without being noticed by the user. Therefore, considering the essentially dynamic rate of change in this type of environment, integrity monitoring is of critical importance for understanding the level of trust we have in positioning and timing data. In this paper, the dilution of precision (DOP) coefficients under nominal and challenging conditions were investigated for the purpose of integrity monitoring in urban environments. By analyzing positioning information in a simulated urban environment using a software-based GNSS receiver, the integrity monitoring approach based on joint consideration of GNSS observables and environmental parameters has been proposed. It was shown that DOP coefficients, when considered together with a number of visible satellites and cut-off elevations specific to the urban environment carry valuable integrity information that is difficult to get using existing integrity monitoring approaches. This has allowed generating indirect integrity measures based on cut-off elevation and satellite visibility that can be used for UAV path planning and guidance in urban environments.

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Section: Gdop = Pdop + Tdop Pdop = Hdop + Vdop mentioning

confidence: 99%

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confidence: 99%

Integrity Analysis for GPS-Based Navigation of UAVs in Urban Environment

et al. 2020

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“…4. According to classification [23], obtained HDOP values correspond to good performance level. Results in fig.…”

Section: G = Cov(δ)= U(σd + H T Ads-b W Sads-b Hads-b W T ])U T (11)mentioning

confidence: 99%

Airplane positioning using airborne collision avoidance system data

et al. 2020

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Mid-air collision is an important problem of modern air transport system. Development of Airborne Collision Avoidance System (ACAS) is grounded on safety criteria in order to support air traffic capacity and equipment. In research, we study the possibility and performance of airplane positioning by data accumulated in ACAS. ACAS surveillance equipment supports accurate range and poor angular measurements of airspace user’s data. An approach is based on a fusion of surveillance data with airplanes locations obtained from decoded Automatic Depended Surveillance-Broadcast messages. Performance of positioning approach is considered in more detail. An error of positioning in the horizontal plane is estimated in relation with uncertainty of airspace users’ location. Numerical demonstration with a live air traffic data indicates poor positioning accuracy in comparison with primary positioning system on-board of airplane and accuracy dependence from geometry and capacity of air traffic.

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“…Experimental results in [ 34 ] indicated that positioning accuracy differs in the z-axis at different anchor heights, but the reasons were not thoroughly explained. The UWB positioning error was investigated in [ 36 ] by using the concept of dilution of precision [ 37 ]. A 2-dimensional (2D) positioning method was proposed for automated guided vehicles (AGVs) in [ 38 ] to investigate the effects of the distance between neighboring anchors on the positioning accuracy.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Improvement of Indoor Positioning Accuracy for UWB Sensors

Yao

2021

Sensors

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Ultra-wideband (UWB) sensors have been widely applied to indoor positioning. The indoor positioning of UWB sensors usually refers to the positioning of the mobile node that interacts with the anchors through radio for calculating the distance between the mobile node and each of the surrounding anchors. The positioning accuracy of the mobile node is affected by the installation positions of surrounding anchors. A mathematical model was proposed in this paper to respectively analyze the mobile node’s 2-dimensional (2D) and 3-dimensional (3D) positioning errors. The factors influencing the mobile node’s positioning errors were explored through the mathematical models. The best installation positions of surrounding anchors were obtained based on the mathematical models. The mobile node’s 2D and 3D positioning errors were reduced based on the anchor positions derived from the mathematical model. Both computer simulations and practical experiments were implemented to justify the results obtained in the mathematical models.

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Analysis of DOP and its preciseness in GNSS position estimation

Cited by 48 publications

References 2 publications

Integrity Analysis for GPS-Based Navigation of UAVs in Urban Environment

Integrity Analysis for GPS-Based Navigation of UAVs in Urban Environment

Airplane positioning using airborne collision avoidance system data

Analysis and Improvement of Indoor Positioning Accuracy for UWB Sensors

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