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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Althaf, A. | en_US |
dc.contributor.author | Hablani, Hari | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:30:00Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:30:00Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Althaf, A., & Hablani, H. B. (2021). Static baseline estimation using NavIC pseudoranges: A long-term study. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), doi:10.1080/02564602.2021.1912660 | en_US |
dc.identifier.issn | 0256-4602 | - |
dc.identifier.other | EID(2-s2.0-85104742446) | - |
dc.identifier.uri | https://doi.org/10.1080/02564602.2021.1912660 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/3709 | - |
dc.description.abstract | We assess the estimation accuracy for two static baselines (350 m and 8 km) with NavIC L5 double-differenced (DD) pseudoranges using weighted and recursive least-square techniques for a day. Additionally, we analyze the 350-m baseline for a span of 9 months. The mean of the 3D residual sum-of-squares (RSS) error for the 350-m baseline using least-square error is 2.72 m with 1σ of 2.08 m for the 24-h duration. With the recursive technique, the mean and 1σ of the 3D RSS error reduce to 46 and 24 cm, respectively. For an 8-km baseline, the 3D RSS error mean and the standard deviation are 2.71 m and 1.72 m, respectively. Compared to NavIC’s baseline estimation accuracy, the 3D RSS error mean using GPS L1 DD pseudoranges for the 350-m and 8-km baselines are 1.13 m (1σ= 0.64 m) and 1.63 m (1σ = 0.78 m). © 2021 IETE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor and Francis Ltd. | en_US |
dc.source | IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India) | en_US |
dc.subject | Radioactivity measurement | en_US |
dc.subject | Baseline estimation | en_US |
dc.subject | Least square errors | en_US |
dc.subject | Long term study | en_US |
dc.subject | Recursive least square (RLS) | en_US |
dc.subject | Recursive techniques | en_US |
dc.subject | Residual sum of squares | en_US |
dc.subject | Standard deviation | en_US |
dc.subject | Errors | en_US |
dc.title | Static Baseline Estimation Using NavIC Pseudoranges: A Long-Term Study | en_US |
dc.type | Journal Article | en_US |
Appears in Collections: | Department of Astronomy, Astrophysics and Space Engineering |
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