An Adaptive Difference Estimation Method for Geodetic Non-equidistant Time Series Noise
An adaptive difference and geodetic technology, which is applied in the field of adaptive difference estimation of distance time series noise, can solve the problems of time series random characteristics change, data loss, and destruction of original time series random characteristics, etc.
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Embodiment 1
[0070] Embodiment 1: collect the observation value file (GPS satellite PRN number 1~31) of the GNSS certain station of 320 years in 2015, its time sampling rate is 10s, therefrom extract P1 code and P2 code observation value, according to the following method Obtain P1 and P2 coding error estimation results respectively. The noise estimation steps of GNSS observation time series are as follows:
[0071] (1) Download the observation value file (O file) from the CDDIS (ftp: / / cddis.gsfc.nasa.gov / ) data center, or the GNSS observation value file collected by the user, and read the pseudorange observation value in the observation value file P and phase observations L:
[0072]
[0073] Among them, ρ represents the geometric distance from the station to the satellite, c represents the speed of light, dt and dT represent the clock error of the receiver and the satellite clock respectively, and d ion 、d trop is the ionospheric delay and tropospheric delay error, λ is the wavelen...
Embodiment 2
[0089] Embodiment 2: collect the Jason-2 satellite DORIS observation value file from March 1st to 30th, 2015, its time sampling interval is non-equidistant (3s and 7s alternate sampling), extract L1 carrier observation value therefrom, according to the following The method obtains the L1 phase error estimation result. The noise estimation steps of DORIS observation time series are as follows:
[0090] (1) Download the observation value file from the IDS (ftp: / / ftp: / / ftp.cddis.eosdis.nasa.gov / pub / doris / ) data center, or the DORIS observation value file collected by the user, and read the carrier phase in the observation value file Observation value L D :
[0091] L D =R+c(dt-dT)+λN-d ion +d trop +ε D
[0092] Among them, R represents the geometric distance from the DORIS ground station to the satellite, c represents the speed of light, dt, dT represents the receiver clock error and satellite clock error, d ion is the ionospheric delay error, d trop is the tropospheric...
Embodiment 3
[0108]Embodiment 3: Collect the Jason-2 satellite SLR observation value file (CRD format) from January 1, 2014 to April 30, whose time sampling interval is non-equidistant (several seconds, tens of seconds, etc.), from which to extract laser light The ranging observation value is obtained according to the following method to obtain the estimation result of the laser ranging error. The noise estimation steps of the time series of SLR observations are as follows:
[0109] (1) Download the observation value file from the EDC (ftp: / / edc.dgfi.tum.de / ) data center, or the SLR observation value file collected by the user, and read the distance observation value S in the observation value file:
[0110]
[0111] Among them, c represents the speed of light, Δt represents the signal propagation time, Δs represents the error of troposphere, relativity, satellite centroid and station system, etc., ε S respectively represent the observation noise;
[0112] According to the two situati...
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