“an investigation into the temporal correlation at the asf monitor sites” by prof. peter...

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“An Investigation into the Temporal Correlation at the ASF Monitor Sites” by Prof. Peter Swaszek, URI/USCGA Dr. Gregory Johnson, Alion Capt. Richard Hartnett, USCGA Dr. Sherman Lo, Stanford

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  • An Investigation into the Temporal Correlation at the ASF Monitor Sites byProf. Peter Swaszek, URI/USCGADr. Gregory Johnson, AlionCapt. Richard Hartnett, USCGADr. Sherman Lo, Stanford

  • or

    A Partial Answer to David Lasts Question on Monitor Spacing Requirements

  • BackgroundILA-35 (2006) Warping Time and Space: Spatial Correlation of Temporal VariationsSeasonal Monitor NetworkSites, equipment, softwareSpatial CorrelationSeveral anecdotal examplesASF FilteringReduce receiver noise effects

  • Prior ConclusionsThere is an obvious correlation in the ASFs of nearby sitesDepends on local topographyLand-path stations experience more variationMost extreme variations occur in winterPlacement of monitors for dLoran will be dependent upon worst-case correlationWinter in the NorthEast is the long pole

  • ILA-36 (today)Look at some of the available data2 new sitesSome sites collecting over almost 2 yearsMore on temporal correlation including error effectsStatistical measuresError performance

  • The Seasonal Monitors circa Oct. 2007

  • Sites Monitored at CGAUSCGA, New London CTURI, Kingston RIVolpe, Cambridge MAFAATC, Atlantic City NJOU, Athens OHStaten Island, NYGoodspeed (CT)New Haven (CT)NEW !!!

  • Seasonal Monitor Sites **MANY MILES

  • Shorter Baselines Distances*

    Chart1

    31.1413

    41.3118

    49.6281

    67.2315

    77.9875

    103.9335

    116.7221

    123.1448

    134.9314

    138.6527

    152.7312

    kilometers

    Sheet1

    Site 1Site 2Distance (km)

    CGAGSPD30.8

    HVNGSPD41.4

    CGAURI49.6

    CGAURI49.6

    CGAHVN67.2

    URIGSPD77.8

    URITSC103.9

    URIHVN116.7

    STIHVN123.1

    ACYSTI134.9

    CGATSC138.7

    TSCGSPD152.7

    STIGSPD164.2

    CGASTI185.7

    TSCHVN193.1

    URISTI234.5

    ACYHVN247.1

    ACYGSPD284.9

    CGAACY299.0

    TSCSTI316.2

    URIACY343.0

    TSCACY436.7

    ACYOUA660.6

    OUASTI714.9

    OUAHVN826.0

    OUAGSPD865.9

    CGAOUA893.1

    URIOUA942.7

    TSCOUA1002.3

    Sheet2

    CGA-GSPD31.1413

    HVN-GSPD41.3118

    CGA-URI49.6281

    CGA-HVN67.2315

    URI-GSPD77.9875

    URI-TSC103.9335

    URI-HVN116.7221

    STI-HVN123.1448

    ACY-STI134.9314

    CGA-TSC138.6527

    TSC-GSPD152.7312

    STI-GSPD164.1755

    CGA-STI185.7239

    TSC-HVN193.136

    URI-STI234.5461

    ACY-HVN247.0728

    ACY-GSPD284.9618

    CGA-ACY298.9813

    TSC-STI316.1811

    URI-ACY343.0303

    TSC-ACY436.6684

    ACY-OUA660.5972

    OUA-STI714.8881

    OUA-HVN825.9639

    OUA-GSPD865.7591

    CGA-OUA893.1158

    URI-OUA942.6819

    TSC-OUA1002.339

    Sheet2

    Sheet3

    kilometers

  • Purposes of Monitor NetworkAnalysis of ASF variation for aviationCenter of range studiesBounds on error

    dLoran system component for HEAASF updates to LSUBroadcast out on LDC

    Shermans presentation nextGregs presentation tomorrow

  • Whats New TodayWe have lots more data, some on shorter baselinesIncludes pre/post-TOT transition2 summers/winters for the early sitesExamine statistics versus distanceExamine position error performance of dLoran versus distance

  • Some ASF Data

  • Typical ASF Data

  • ASF Data from Monitor SitesHave long assumed that the ASF can be decomposed into 3 independent, additive terms:Spatial termTemporal termDirectional term for a moving antennaFor further visuals, we remove (zero out) the spatial termTemporal term forced to mean of zeroDirectional term assumed to be zero

  • Typical Temporal Term

  • Some ComparisonsSeasonal differencesSummer (June1 August 31)Winter (January 1 March 31)Two year repeatabilityCorrelation site-to-siteHighLow ASF differences

  • Our Winter/Summer Definition

  • Repeatability of ASFs 2 Years at One Site

  • Repeatability Zoom of Summer

  • Repeatability Zoom into Winter

  • Site-to-Site, Strong Correlation

  • Site-to-Site, Weaker Correlation

  • Differences of the ASFs

  • and

  • Statistics Whats relevant to compute?Correlation coefficient is one option

    = 1 just means a linear relationshipIgnores scaling and offsetNot relevant for error analysisWill look at average differences in ASF

  • Measure spread of differences in ASF by standard deviation of differencesTabulate average standard deviation of differences

    Focus on pairwise characteristics of close sites short baselines only

  • Table of Results (nanosec)

  • Position Error PerformanceHow far away from a monitor site are the ASFs good enough for dLoran?Measure above is unclearAnecdotal evidence from harbor testingApproach identify position error due to mismatchConsider one monitor site as a mobile receiver Use ASFs from second site in position solution

  • Example URI & TSC ASFsSWAP ASFs

  • ExampleSUMMERWINTER

  • Performance ResultsAverage over timeAll year, winter, summerTabulate 95% error radiiFocus on pairwise characteristics of close sites short baselines only

  • Best Site-to-Site PerformanceSUMMERWINTER

  • 95% Error Radius vs Distance

  • Conclusions/FutureWhile ASFs are clearly correlated at nearby sites, position performance is sensitive to mismatchClose spacing seems necessary for HEAdLoran for aviation could accept wider spacing Error budget needs to also include receiver noise and spatial ASF componentsWill continue collecting and testing data Get shorter baseline data (along coastline) from PIG/LSU sitesPoint Allerton (MA)Sandy Hook (NJ)

    **