http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111913199-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S19-37
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S19-37
filingDate 2020-07-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-111913199-B
titleOfInvention Mobile GNSS data noise extraction method based on variational modal decomposition
abstract The invention discloses a mobile phone GNSS data noise extraction method based on variational modal decomposition, which comprises the following steps: synchronously observing the mobile phone and the receiver in a close range to form short-baseline observation data; eliminating system errors of each satellite, selecting a reference satellite, establishing a double-difference observation equation and calculating a double-difference observation value; decomposing the double-difference observed values of each satellite by using the VMD, and inversely calculating the corrected inter-station single-difference observed values according to the decomposed low-frequency part; recombining the corrected single-difference observed values, and eliminating double-difference noise in the observed values; and calculating the observation noise of each satellite by combining the single difference observation values among all the stations, and counting the observation precision by combining different independent variables with the observation noise according to the requirement. The method can obtain the mobile GNSS data noise extraction result which is not influenced by satellite correlation and time correlation, and is beneficial to the construction of a mobile GNSS random model and the realization of high-precision positioning.
priorityDate 2020-07-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID456171974
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419513094
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID28718

Total number of triples: 13.