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• W2603437080 abstract "Differential GPS is able to provide cm-level positioningaccuracies, as long as the carrier phase ambiguities areresolved to integer values. Classical methods are based onthe use of a single reference station located in the vicinityof the rover. Due to the spatial decorrelation of the errors,the distance between the reference station and the user isgenerally limited to within 20-30 km or even less, mainlydue to the ionosphere. The Multi-Ref method, developedat the University of Calgary, uses a network of referencestations to generate regional code and carrier phasecorrections, which can be transmitted to users in order toincrease the distance over which integer ambiguityresolution is possible. In the original method, thecorrelated errors, due to the satellite orbits, troposphere,and ionosphere are modeled together using the L1 andwidelane observables.In this paper, extensive efforts were carried out towardsoptimizing the Multi-Ref method with the objective ofmaximizing its performance. Data collected inSoutheastern Brazil was used in this research. At first, theimpact of using covariance functions calculated withdifferent data sets was assessed, showing improvementvariations of up to 15% in the observation domaincompared to using no network corrections, with the exactimprovement depending on the data set used in thecomputation. A new approach, also using Least-Squarescollocation, was then proposed to separately model thecorrelated errors. An additional effort was carried out interms of modeling the ionosphere into directionalcomponents. Results of the enhanced method showed thesame level of improvement as those obtained using theoriginal covariance functions. However, this newapproach has advantages with respect to the transmissionof the corrections. Finally, an additional step was taken interms of applying a Kalman filter to the corrections inorder to improve their quality. For cases when thecorresponding satellite was setting at low elevations, thefilter approach improved results up to 44%. A study onthe impact of the various covariance functions on theestimated accuracy of the corrections is also included." @default.
• W2603437080 created "2017-04-07" @default.
• W2603437080 creator A5080753696 @default.
• W2603437080 date "2002-09-27" @default.
• W2603437080 modified "2023-09-23" @default.
• W2603437080 title "Optimizing the Use of GPS Multi-Reference Stations for Kinematic Positioning" @default.
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• W2603437080 doi "https://doi.org/10.11575/prism/23436" @default.
• W2603437080 hasPublicationYear "2002" @default.
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