Efficient QR sequential least square algorithm for high frequency GNSS precise point positioning seismic application

Efficient QR sequential least square algorithm for high frequency GNSS precise point positioning seismic application

The implementation into the GINS CNES geodetic software of a more efficient filter was needed to satisfy the users who wanted to compute high-rate GNSS PPP solutions. We selected the SRI approach and a QR factorization technique including an innovative algorithm which optimizes the matrix reduction...

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Bibliographic Details
Published in:Advances in space research Vol. 61; no. 1; pp. 448 - 456
Main Authors: Barbu, Alina L., Laurent-Varin, Julien, Perosanz, Felix, Mercier, Flavien, Marty, Jean-Charles
Format: Journal Article
Language:English
Published: Elsevier Ltd 01-01-2018
Elsevier
Subjects:
Earth Sciences
Geophysics
GINS
GNSS
IPPP
PPP
QR decomposition
Recursive least square
Sciences of the Universe
PPP
Recursive least square
IPPP
GNSS
QR decomposition
GINS
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Summary:The implementation into the GINS CNES geodetic software of a more efficient filter was needed to satisfy the users who wanted to compute high-rate GNSS PPP solutions. We selected the SRI approach and a QR factorization technique including an innovative algorithm which optimizes the matrix reduction step. A full description of this algorithm is given for future users. The new capacities of the software have been tested using a set of 1 Hz data from the Japanese GEONET network including the Mw 9.0 2011 Tohoku earthquake. Station coordinates solution agreed at a sub-decimeter level with previous publications as well as with solutions we computed with the National Resource Canada software. An additional benefit from the implementation of the SRI filter is the capability to estimate high-rate tropospheric parameters too. As the CPU time to estimate a 1 Hz kinematic solution from 1 h of data is now less than 1 min we could produced series of coordinates for the full 1300 stations of the Japanese network. The corresponding movie shows the impressive co-seismic deformation as well as the wave propagation along the island. The processing was straightforward using a cluster of PCs which illustrates the new potentiality of the GINS software for massive network high rate PPP processing.
ISSN:0273-1177
1879-1948
DOI:10.1016/j.asr.2017.10.032