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Research ArticleOriginal Article
Open Access

Signal Quality Monitoring Based on Chip Domain Observables: Theory, Design, and Implementation

Xiang Wang, Xiaowei Cui, Gang Liu, Kefan Wei, and Mingquan Lu
NAVIGATION: Journal of the Institute of Navigation December 2022, 69 (4) navi.543; DOI: https://doi.org/10.33012/navi.543
Xiang Wang
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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Xiaowei Cui
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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  • For correspondence: [email protected]
Gang Liu
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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Kefan Wei,
2North Information Control Research Academy Group Co. Ltd., Nanjing 211153, China
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Mingquan Lu
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
3Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
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Figures

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  • FIGURE 1
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    FIGURE 1

    Different tracking errors suffered by tracking pairs with different spacings

  • FIGURE 2
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    FIGURE 2

    Overall logical relationships of operational SQM and its design methodology

  • FIGURE 3
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    FIGURE 3

    Design methodology of CDO-based SQM

  • FIGURE 4
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    FIGURE 4

    Framework of the verification platform for massive simulations of SQM design

  • FIGURE 5
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    FIGURE 5

    Diagram of risky group and CMB for BDS B1C signal

  • FIGURE 6
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    FIGURE 6

    FoM contours with 1-second integral accumulation only

  • FIGURE 7
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    FIGURE 7

    100-second metric-smoothing-improved FoM contours for individual station

  • FIGURE 8
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    FIGURE 8

    Reference-smoothing-improved FoM curves at BIN = 0.025 chips

  • FIGURE 9
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    FIGURE 9

    Improved FoMs for individual station at BIN = 0.025 chips

  • FIGURE 10
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    FIGURE 10

    Results of assessment examples

  • FIGURE 11
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    FIGURE 11

    Critical performance comparisons with three signals

  • FIGURE 12
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    FIGURE 12

    Examinations on the detection ability of CDOs

  • FIGURE B1
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    FIGURE B1

    Illustration of the featured lengths with nominal signal

Tables

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    TABLE 1

    Structures and Modulation Characteristics of Signals

    SignalSignal ComponentsCarrier
    Frequency (MHz)
    ModulationPhasePower RatioSymbol
    Rate (sps)
    GPS L1 C/AsL1CA(t)1575.42BPSK(1)——50
    BDS B1CdataSB1C_data(t)1575.42BOC(1, 1)011/44100
    pilotSB1C_pilot_a(t)QMBOC(6, 1, 4/33)BOC(1, 1)9029/440
    SB1C_pilot_b(t)BOC(6, 1)04/44
    BDS B2adataSB2a_data(t)1176.45BPSK(10)01/2200
    pilotSB2a_pilot(t)901/20
    • View popup
    TABLE 2

    Threat Spaces of Representative Signals

    SignalThreat ModelΔ (Chips)fd (MHz)σ (MNp/s)
    GPS L1 C/ATM-A−0.12 – 0.12——
    TM-B—4 – 170.8 – 8.8
    TM-C−0.12 – 0.127.3 – 130.8 – 8.8
    BDS B1CTM-A−0.05 – 0.05——
    TM-B—1.5 – 180.1 – 20
    TM-C−0.05 – 0.051.5 – 180.1 – 20
    BDS B2aTM-A−0.5 – 0.5——
    TM-B—4 – 180.1 – 18
    TM-C−0.5 – 0.54 – 180.1 – 18
    • View popup
    TABLE 3

    Reference Receiver Configuration and URCS

    ReceiverReferenceUser
    TrackingL1 C/AE-L (BPSK(1) local replica)
    B1CE-L (BOC(1,1) local replica)
    B2aE-L (BPSK(10) local replica)
    Correlator SpacingL1 C/A0.10 chips0.08, 0.10, 0.12 chips
    B1C
    B2a1.0 chips0.9, 1.0, 1.1 chips
    PCBw (double-sided)24 MHz12, 14, 16, 18, 20, 22, 24 MHz
    Filtersixth-order Butterworth

    (1) sixth-order Butterworth

    (2) mixed Butterworth

    (3–6) four resonators

    • View popup
    TABLE 4

    Influential Factors of SQM design

    Algorithm phaseInfluential Factor
    NameSymbolEffect
    Raw-CDO measurement of a raw CDOIntegration periodTintDetermines the total amount of chips, hence, bins in measuring a raw CDO
    Proportion of a code-phase bin to a chipBINDetermines the length of each bin, hence, the number of sample points probably incorporated by the measurement
    Sampling frequencyFSDetermines the density of sample points on chip waveforms
    Double-sided PCBwBWDetermines the shape of chip waveforms, hence, the values of sample points and the shape of the correlation function (signal amplitude estimate)
    CDO normalizationSignal amplitude estimateIPDetermines normalized magnitudes of CDOs
    Metric definitionRising edge rateRERDetermines the total amount of rising edges within a given integration period in measuring CDOs applied to form metrics
    Metric-smoothingMetric-smoothing periodTsmtDecreases the magnitudes of standard deviations of poorly temporally-correlated nominal errors
    Determination of nominal metrics and detection thresholdsNominal scale multiplierKDetermines the inflated scales of nominal noise on metrics
    Minimum number of stations for reference-smoothingNrefDecreases the magnitudes of standard deviations of poorly- and/or non-spatially-correlated nominal errors
    Carrier-to-noise ratioC/N0Determines the raw magnitudes of nominal noise on received signals
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    TABLE 5

    Characteristics of Signals and PRN Codes

    SignalMin_Rcv_C/N0
    (dB-Hz)
    Total PRNParameterMeanMedianMaximumMinimum
    GPS L1 C/A3932Embedded Image0.49440.49590.51080.4804
    BDS B1C (MEO)37.563Embedded Image0.84320.84310.84580.8409
    BDS B2a (MEO)39.363Embedded Imagesingle-chip (−1, +1)0.45520.45500.45860.4511
    dual-chip (−1, −1, + 1, +1)0.22710.22710.23440.2199
    triple-chip (−1, −1, −1, +1, +1, +1)0.11330.11250.12340.1025
    quad-chip (−1, −1, −1, −1, +1, +1, +1, +1)……
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    TABLE 6

    Constraints on Selection of Bin Length Based on L1 Signals

    DomainConstraint (chips)Combined Constraint (chips)
    NominalEmbedded ImageEmbedded Image
    DistortedEmbedded ImageEmbedded Image
    RigidEmbedded Image
    • View popup
    TABLE 7

    Number of Stations Needed for Various Sampling Frequencies

    Fs
    (MHz)
    Nref
    GPS L1 C/ABDS B1C
    SIF = 1.5SIF = 2.3SIF = 1.5SIF = 2.3
    721111
    661111
    601121
    541121
    482121
    422132
    362142
    303253
    245384
    • View popup
    TABLE 8

    Discretization Scheme of Threat Spaces

    SignalThreat ModelΔ (chips)fd (MHz)σ (MNp/s)
    GPS L1 C/ATM-A−0.12 : 0.01 : −0.01, 0.01 : 0.01 : 0.12——
    TM-B—4 : 0.1 : 170.8 : 0.5 : 8.8
    TM-C−0.12 : 0.01 : −0.01, 0.01 : 0.01 : 0.127.3 : 0.1 : 130.8 : 0.5 : 8.8
    BDS B1CTM-A−0.05 : 0.01 : −0.01, 0.01 : 0.01 : 0.05——
    TM-B—1.5 : 0.5 : 180.1, 0.5 : 0.5 : 20
    TM-C−0.05 : 0.01 : −0.01, 0.01 : 0.01 : 0.051.5 : 0.5 : 180.1, 0.5 : 0.5 : 20
    BDS B2aTM-A−0.9 : 0.1 : −0.1, 0.1 : 0.1 : 0.9——
    TM-B—2 : 1 : 200.1, 1 : 1 : 20
    TM-C−0.9 : 0.1 : −0.1, 0.1 : 0.1 : 0.92 : 1 : 200.1, 1 : 1 : 20
    • View popup
    TABLE 9

    Generic CDO-Based SQM Algorithms for Dual-Frequency Civilian Signals

    ITEMSCONFIGURATIONS
    NameSCSQM8r
    Carrier frequencyL1/B1L5/B2
    CorrelatorObservableCDO
    Location
    (chips)
    Baseline±1/80, ±3/80, ±5/80, ±7/80±1/8, ±3/8, ±5/8, ±7/8
    Simplified−1/80, +1/80, +3/80, +5/80, +7/80−1/8, +1/8, +3/8, +5/8, +7/8
    Integration period(seconds)1
    Detection metricsBaseline8
    Simplified5
    Metric-smoothingPeriod (seconds)100—
    Improvement factor1.5 – 2.3
    SignalGPS L1 C/ABDS B1C MEOBDS B2a MEO
    Theoretical minimum receiving C/N0
    (dB-Hz)
    3937.539.3
    Sampling frequency (MHz)≥33
    Reference-smoothing stationsSIF = 1.5⌈(0.0199 · FS + 0.0176)−2⌉ ⌈(0.0151 · FS+0.0055)−2⌉—
    SIF = 2.3⌈(0.0306 · FS + 0.0270)−2⌉ ⌈(0.0231 · FS + 0.0084)−2⌉
    Probability of false-alert1.5 ×10−7 per test
    Probability of miss-detection1 ×10−3 per test
    MERR (meters)1.612.89
    • View popup
    TABLE A1

    Assessment Results of L1 Signals

    SgnFsRef-SmtMtr-Smt Gain
    (dB)
    Theo_Min_C/N0Min_Eqv_C/N0Asmt Result
    NrefGain
    (dB)
    RcvSQM(dB-Hz)
    GPS L1 C/A7210.04.039.043.039.5bound
    6910.040.0bound
    6610.039.8bound
    6310.040.2bound
    6010.040.8bound
    5710.041.5bound
    5410.041.9bound
    5110.042.2bound
    4823.046.043.1bound
    4523.043.4bound
    4223.043.8bound
    3923.044.1bound
    3623.045.3bound
    3334.847.846.2bound
    BDS B1C7210.04.037.541.540.3bound
    6910.040.6bound
    6610.041.1bound
    6323.044.541.6bound
    6023.041.9bound
    5723.042.4bound
    5423.042.8bound
    5123.043.3bound
    4823.043.8bound
    4534.846.344.6bound
    4234.845.0bound
    3934.845.6bound
    3646.047.546.4bound
    3346.046.8bound
    • Note: The terms Ref-Smt and Mtr-Smt refer to the reference-smoothing and metric-smoothing processes, respectively. The theoretical minimum C/N0 for either ground receivers or SQM-detection equivalency is included in the term Theo_Min_C/N0.

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NAVIGATION: Journal of the Institute of Navigation: 69 (4)
NAVIGATION: Journal of the Institute of Navigation
Vol. 69, Issue 4
Winter 2022
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Signal Quality Monitoring Based on Chip Domain Observables: Theory, Design, and Implementation
Xiang Wang, Xiaowei Cui, Gang Liu, Kefan Wei,, Mingquan Lu
NAVIGATION: Journal of the Institute of Navigation Dec 2022, 69 (4) navi.543; DOI: 10.33012/navi.543

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Signal Quality Monitoring Based on Chip Domain Observables: Theory, Design, and Implementation
Xiang Wang, Xiaowei Cui, Gang Liu, Kefan Wei,, Mingquan Lu
NAVIGATION: Journal of the Institute of Navigation Dec 2022, 69 (4) navi.543; DOI: 10.33012/navi.543
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  • Article
    • Abstract
    • 1 INTRODUCTION
    • 2 CONTEXTS OF THIS STUDY
    • 3 OVERVIEWS OF CDO-BASED SQM AND ITS DESIGN METHODOLOGY
    • 3.2 Overview of Design Methodology for CDO-Based SQM
    • 4 DESIGN PROCESS OF CDO-BASED SQM
    • 5 ASSESSMENT AND SIMPLIFICATION OF BASELINE ALGORITHM
    • 6 CONCLUSION AND FUTURE WORK
    • HOW TO CITE THIS ARTICLE
    • ACKNOWLEDGMENTS
    • APPENDIX A DERIVATION OF THE APPROXIMATE MEAN OF THE EIGHT MDES
    • APPENDIX B DEFINITIONS OF THE FEATURED LENGTHS FOR CONSTRAINTS ON SELECTION OF CODE-PHASE BIN LENGTH WITH NOMINAL SIGNALS
    • APPENDIX C RESULTS OF ASSESSMENTS FOR L1 SIGNALS
    • REFERENCES
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Keywords

  • chip domain observable
  • CDO
  • design methodology
  • dual-frequency multi-constellation
  • DFMC
  • satellite-based augmentation system
  • SBAS
  • signal quality monitoring
  • SQM

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