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Nandakumaran Nadarajah

Researcher at Curtin University

Publications -  33
Citations -  801

Nandakumaran Nadarajah is an academic researcher from Curtin University. The author has contributed to research in topics: GNSS applications & Global Positioning System. The author has an hindex of 15, co-authored 33 publications receiving 661 citations. Previous affiliations of Nandakumaran Nadarajah include McMaster University.

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GPS, Galileo, QZSS and IRNSS differential ISBs: estimation and application

TL;DR: For IRNSS this article presents for the first time DISBs with respect to the L5/E5a signals of GPS, Galileo and QZSS for a mixed-receiver baseline, and demonstrated that single-frequency ambiguity resolution is tremendously improved when the multi-GNSS observations are all differenced withrespect to a common pivot satellite, compared to classical differencing for which a pivot satellite is selected for each constellation.
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Multi-GNSS PPP-RTK: From Large- to Small-Scale Networks

TL;DR: Numerical insights are provided into the role taken by the multi-GNSS integration in delivering fast and high-precision positioning solutions (sub-decimeter and centimeter levels) using PPP-RTK.
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Assessing the IRNSS L5-signal in combination with GPS, Galileo, and QZSS L5/E5a-signals for positioning and navigation

TL;DR: The results show that the IRNSS L5-signal has comparable noise characteristics as that of the other L5/E5a-signals, and for single-frequency carrier phase-based positioning and navigation, the results show better ambiguity resolution performance of L4/E4a-only processing than that of L1/E1- only processing.
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BeiDou Inter-Satellite-Type Bias Evaluation and Calibration for Mixed Receiver Attitude Determination

TL;DR: Results demonstrate that these biases could seriously affect the integer ambiguity resolution for attitude determination using mixed receiver types and that a priori correction of these biases will dramatically improve the success rate.
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The mixed-receiver BeiDou inter-satellite-type bias and its impact on RTK positioning

TL;DR: Analyses of BeiDou stand-alone RTK positioning using mixed-receiver types demonstrate that ISTBs could seriously affect the integer ambiguity resolution performance and that a priori correction for these biases will dramatically improve the success rate.