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NAVIGATION: Journal of the Institute of Navigation

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Research ArticleOriginal Article
Open Access

Ionospheric spatial decorrelation assessment for GBAS daytime operations in Brazil

Hyeyeon Chang, Moonseok Yoon, Sam Pullen, Leonardo Marini-Pereira and Jiyun Lee
NAVIGATION: Journal of the Institute of Navigation June 2021, 68 (2) 391-404; DOI: https://doi.org/10.1002/navi.418
Hyeyeon Chang
1Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
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Moonseok Yoon
1Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
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Sam Pullen
2Department of Aeronautics and Astronautics, Stanford University, Stanford, California, USA
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Leonardo Marini-Pereira
3Research Division, Institute of Airspace Control (ICEA), São José dos Campos, São Paulo, Brazil
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Jiyun Lee
1Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
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  • For correspondence: [email protected]
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  • FIGURE 1
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    FIGURE 1

    GNSS reference stations and networks used in Phase I ionospheric study (Yoon et al., 2017)

  • FIGURE 2
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    FIGURE 2

    Station-pair method for estimating anomalous ionospheric gradients (left) and time-step method for estimating nominal ionospheric gradients and validating anomalous ionospheric gradients (right)

  • FIGURE 3
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    FIGURE 3

    Differential vertical ionospheric delay results on the highest daytime SOR day (March 7, 2012)

  • FIGURE 4
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    FIGURE 4

    Complementary CDF of normalized vertical ionospheric gradients on the highest daytime SOR day (March 7, 2012)

  • FIGURE 5
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    FIGURE 5

    σvig overbound results from the time-step method and Brazilian GNSS network data on the highest daytime SOR day (March 7, 2012)

  • FIGURE 6
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    FIGURE 6

    Summary of σvig overbound results for each Data ID in Datasets 1 and 2

  • FIGURE 7
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    FIGURE 7

    Slant ionospheric delay (top) and vertical ionospheric gradient (bottom) estimates for four satellite-station pairs on October 1, 2012. There were large gradients exceeding 100 mm/km after 6 a.m. local time

  • FIGURE 8
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    FIGURE 8

    Differential vertical ionospheric delay vs. IPP separation distance on October 25, 2011

  • FIGURE 9
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    FIGURE 9

    Slant ionospheric delay (top) and vertical ionospheric gradient (bottom) estimates for several satellites at station POAL on October 25, 2011

  • FIGURE 10
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    FIGURE 10

    σvig overbound vs. local time for nine days of combined data

  • FIGURE 11
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    FIGURE 11

    Zoomed-in view of σvig overbound vs. local time for nine days of combined data

  • FIGURE 12
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    FIGURE 12

    Illustration of “geometric similarity” method

  • FIGURE 13
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    FIGURE 13

    Temporal delay difference estimation procedure

  • FIGURE 14
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    FIGURE 14

    Locations of the GEONET reference receivers in September 2010

  • FIGURE 15
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    FIGURE 15

    Temporal delay difference ((a), on left) and temporal gradient ((b), on right) vs. IPP separation distance

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    TABLE 1

    Dataset 1 days and results: Selected based on highest daytime SOR

    IDDatePhase I CategoryDaytime SOR (Rank) (%)σvig overbound
    1March 7, 2012Selected by Dst2.1141 (1st)10 mm/km
    2January 25, 2012Selected by Dst2.1048 (2nd)9 mm/km
    3March 9, 2012Selected by Dst0.7714 (3rd)9 mm/km
    4October 25, 2011Selected by Dst0.6875 (4th)10 mm/km
    5October 8, 2012Selected by Dst0.5837 (5th)8 mm/km
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    TABLE 2

    Dataset 2 days and results: Selected based on highest nighttime SOR

    IDDatePhase I CategoryNighttime SOR (Rank) (%)σvig overbound
    6October 1, 2012Selected by Dst18.3265 (1st)N/A (Anomalous day)
    7March 3, 2014Scintillating day17.4038 (2nd)12 mm/km
    8 (= 4)October 25, 2011Selected by Dst14.9240 (3rd)10 mm/km
    9March 4, 2014Scintillating day14.8806 (4th)12 mm/km
    10February 25, 2014Scintillating day14.4754 (5th)13 mm/km
    11February 26, 2014Scintillating day13.3409 (6th)11 mm/km
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    TABLE 3

    Sunrise and sunset times (in standard time) and length of day at Rio de Janeiro of each month for the same day of the month during 2018

    Date (day month year)Sunrise time (standard time) (hour:minute)Sunset time (standard time) (hour:minute)Length of Day (hour:minute:second)
    21 January 201805:2418:4313:18:14
    21 February 201805:4418:2712:43:06
    21 March 201805:5618:0212:05:48
    21 April 201806:0817:3411:26:01
    21 May 201806:2117:1710:55:48
    21 June 201806:3217:1610:43:21
    21 July 201806:3117:2610:55:13
    21 August 201806:1317:3811:25:56
    21 September 201805:4317:4812:05:05
    21 October 201805:1517:5912:44:26
    21 November 201804:5918:1813:18:52
    21 December 201805:0418:3713:33:01

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NAVIGATION: Journal of the Institute of Navigation: 68 (2)
NAVIGATION: Journal of the Institute of Navigation
Vol. 68, Issue 2
Summer 2021
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Ionospheric spatial decorrelation assessment for GBAS daytime operations in Brazil
Hyeyeon Chang, Moonseok Yoon, Sam Pullen, Leonardo Marini-Pereira, Jiyun Lee
NAVIGATION: Journal of the Institute of Navigation Jun 2021, 68 (2) 391-404; DOI: 10.1002/navi.418

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Ionospheric spatial decorrelation assessment for GBAS daytime operations in Brazil
Hyeyeon Chang, Moonseok Yoon, Sam Pullen, Leonardo Marini-Pereira, Jiyun Lee
NAVIGATION: Journal of the Institute of Navigation Jun 2021, 68 (2) 391-404; DOI: 10.1002/navi.418
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  • Article
    • Abstract
    • 1 INTRODUCTION
    • 2 DATA
    • 3 IONOSPHERIC GRADIENT ESTIMATION METHOD
    • 4 ESTIMATION OF NOMINAL 𝝈𝐯𝐢𝐠 FOR BRAZIL
    • 5 DEFINITION OF LOCAL DAYTIME
    • 6 TEMPORAL GRADIENT EFFECTS
    • 7 SUMMARY AND REMAINING STEPS
    • HOW TO CITE THIS ARTICLE
    • ACKNOWLEDGMENTS
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Keywords

  • equatorial ionosphere
  • Ground Based Augmentation System (GBAS)
  • ionospheric decorrelation

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