L
Lars Prange
Researcher at University of Bern
Publications - 71
Citations - 3802
Lars Prange is an academic researcher from University of Bern. The author has contributed to research in topics: GNSS applications & Global Positioning System. The author has an hindex of 20, co-authored 70 publications receiving 3209 citations.
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Bernese GPS Software Version 5.0
Gerhard Beutler,Heike Bock,Rolf Dach,Pierre Fridez,Andreas Gäde,Urs Hugentobler,Adrian Jäggi,Michael Meindl,Leos Mervart,Lars Prange,Stefan Schär,Tim Springer,C. Urschl,Peter Walser +13 more
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The Multi-GNSS Experiment (MGEX) of the International GNSS Service (IGS) - Achievements, prospects and challenges
Oliver Montenbruck,Peter Steigenberger,Lars Prange,Zhiguo Deng,Qile Zhao,Felix Perosanz,Ignacio Romero,Carey Noll,Andrea Stürze,Georg Weber,Ralf Schmid,Ken MacLeod,Stefan Schaer +12 more
TL;DR: The status and tracking capabilities of the IGS monitoring station network are presented and the multi-GNSS products derived from this resource are discussed and the achieved performance is assessed and related to the current level of space segment and user equipment characterization.
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GNSS processing at CODE: status report
Rolf Dach,Elmar Brockmann,Stefan Schaer,Gerhard Beutler,Michael Meindl,Lars Prange,Heike Bock,Adrian Jäggi,Luca Ostini +8 more
TL;DR: In this paper, the authors focus on the generation of the combined global products at CODE, where they put emphasis not only on accuracy, but also on completeness, and study the impact of GLONASS on the CODE products, and the benefit of using them.
Journal ArticleDOI
CODE’s new solar radiation pressure model for GNSS orbit determination
Daniel Arnold,Michael Meindl,Gerhard Beutler,Rolf Dach,Stefan Schaer,Simon Lutz,Lars Prange,Krzysztof Sośnica,Krzysztof Sośnica,Leos Mervart,Adrian Jäggi +10 more
TL;DR: A new extended ECOM is presented which substantially reduces the spurious signals in the geocenter coordinate $$z$$z, reduces the orbit misclosures at the day boundaries by about 10 %, slightly improves the consistency of the estimated ERPs with those of the IERS 08 C04 Earth rotation series, and significantly reduces the systematics in the SLR validation of the GNSS orbits.