CN103163542A - Observation constant based method for detecting gross error in global navigation satellite system (GNSS) baseline solution - Google Patents

Observation constant based method for detecting gross error in global navigation satellite system (GNSS) baseline solution Download PDF

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CN103163542A
CN103163542A CN2013101014011A CN201310101401A CN103163542A CN 103163542 A CN103163542 A CN 103163542A CN 2013101014011 A CN2013101014011 A CN 2013101014011A CN 201310101401 A CN201310101401 A CN 201310101401A CN 103163542 A CN103163542 A CN 103163542A
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潘树国
王庆
闫志跃
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Southeast University
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Abstract

The invention discloses an observation constant based method for detecting a gross error in global navigation system (GNSS) baseline solution. The method includes firstly calculating a difference value between a double-differenced carrier ionosphere-free combination value and an observation equation calculation value, then performing estimation by using difference values between double-differenced carrier ionosphere-free combination values and observation equation calculation values of prior two epochs to obtain a threshold value of a corresponding difference value of a current epoch, and finally judging whether a carrier observation value of the current epoch contains the gross error by comparing the threshold value with the observation value. According to the observation constant based method, problems that single gross error is difficult to position and continuous gross errors are difficult to detect in GNSS baseline solution are effectively solved.

Description

Gross error detection method based on observation constant in GNSS baseline solution
Technical Field
The invention relates to a gross error detection method in baseline solution, in particular to a gross error detection method based on a carrier observation constant.
Background
Baseline resolution is an important aspect of reference station integrity monitoring. The displacement correction quantity of each reference station is obtained by calculating the base line and carrying out net adjustment, and the coordinates of the reference stations are periodically corrected to ensure the accuracy of the coordinates of the reference stations and provide guarantee for quick and accurate positioning of users. Gross error detection is a research hotspot of baseline solution quality control, however, as least squares have no tolerance, once gross errors occur in observed values, even if the number is small, the final result is seriously influenced. Whether the gross error can be accurately detected directly influences the precision of the ambiguity floating solution and whether the ambiguity floating solution can be fixed correctly, and further influences the resolving quality of the baseline.
Most of the traditional gross error detection methods firstly solve ambiguity floating solutions by least squares and fix the ambiguity, and based on residual values generated after the ambiguity is fixed, a hypothesis test method is used for constructing statistical test quantities and detecting the gross error or a robust estimation model is used for detecting the gross error. However, due to least square residual statistic correlation, the inherent relation between the gross error and the residual error value is covered, so that the gross error cannot be correctly reflected to the corresponding residual error value, and thus, the gross error cannot be correctly detected by the statistic inspection quantity based on the residual error value, and because of the limitation of the number of satellites, the redundant observation in the double-difference carrier observation equation is less, so that the sensitivity of the robust estimation model to the gross error is greatly reduced. Therefore, it becomes quite difficult to detect a location based on the gross difference of the residual values.
Disclosure of Invention
Different from the conventional research thought, the rough error detection method based on the carrier observation constant is provided aiming at the defect of rough error detection based on the residual error value at present, and the problems of difficult positioning of single rough error and difficult continuous rough error detection are effectively solved.
The gross error judgment method is characterized in that a difference value between a double-difference carrier ionosphere-free combination value and an observation equation calculated value is constructed, and a threshold value of a corresponding difference value of a current epoch is estimated by using the difference value between the previous two epoch double-difference carrier ionosphere-free combination values and the observation equation calculated value, so that whether the current epoch carrier observed value contains gross error or not is judged. The method is realized by the following steps:
(1) constructing a double-difference carrier ionosphere-free combination value equation:
Figure BDA00002968864500021
(1.1)
wherein,
Figure BDA00002968864500023
a double difference operator; f. of1And f2Are respectively L1、L2(satellite carrier signals of two different frequencies) carrier frequency;
Figure BDA00002968864500024
and
Figure BDA00002968864500025
are respectively L1、L2A carrier phase observation; lambda [ alpha ]WIs the widelane ambiguity; rho is a satellite-earth distance, and the precision in pseudo-range single-point positioning is meter level; o, M are error in orbit respectivelyDifferences and multipath effects, negligible in the double difference equation; t is tropospheric delay, corrected with the new university of unreal UNB3m tropospheric model; n is a radical of1And N2Are respectively L1、L2Carrier ambiguity. In equation (1.1), the equation holds when all parameters are exact values. The left side of the equal sign of the formula (1.1) is a double-difference carrier non-ionosphere combination value, and the right side of the equal sign is a double-difference carrier non-ionosphere combination calculated value. Due to L1、L2The precision of the carrier observed value is 0.01 week, so the left side of the equal sign can be regarded as the precise value, and the right side of the equal sign is subjected to double-difference distance between earth and earth
Figure BDA00002968864500026
Double differential troposphere
Figure BDA00002968864500027
The influence of parameter precision has certain deviation with the left-type double-difference carrier non-ionized layer combination value.
(2) Estimating by using the difference value between the ionosphere-free combination value of the first two epoch double-difference carriers and the observation equation calculation value to obtain the threshold value of the corresponding difference value of the current epoch:
the coordinates of the reference station in the baseline solution are precisely known, so the double-difference range accuracy depends mainly on the rover range. The rover station satellite range can be obtained by the satellite coordinates and the rover station pseudorange single-point positioning coordinates:
ρ ^ = { X i - ( X r + ΔX ) } 2 + { Y i - ( Y r + ΔY ) } 2 + { Z i - ( Z r + ΔZ ) } 2 - - - ( 1.2 )
wherein,
Figure BDA00002968864500029
calculating the rover guard distance; xi、Yi、ZiRespectively the coordinates of the ith satellite; xr、Yr、ZrThe r coordinates of the rover (whether the rover represents yes by r) are true values respectively; Δ X, Δ Y, and Δ Z are deviations of coordinates of the rover r (which is the same rover as the above rover) obtained from the pseudorange single-point positioning from real values of the rover coordinates, respectively.
As can be seen from the formula (2.2),
Figure BDA000029688645000210
the magnitude of the change over time is only affected by the amount of satellite coordinate change. At adjacent time tk、tk+△kThe variation of the rover gauge to the ground is as follows:
Δ ρ ^ t k t k + Δk = ρ ^ ( t k ) 2 + 2 Δt ( V X · X + V Y · Y + V Z · Z ) + Δ 2 - ρ ^ ( t k ) - - - ( 1.3 )
wherein, Δ ρ ^ t k t k + Δk is (t)k,tk+△k) The change of the sanitary distance of the flow station in the time period;
Figure BDA000029688645000213
is tkThe distance between the guards and the ground at the moment; Δ t = tk+△k-tk;VX、VY、VZAre respectively satellite at (t)k,tk+△k) Average velocity along axis X, Y, Z over a period of time; x = Xi-(Xr+△X),Y=Yi-(Yr+△Y),Z=Zi-(Zr+△Z),△2=△X2+△Y2+△Z2
According to analysis, the variation of the rover satellite distance is related to the speed of the satellite along the coordinate axis direction and the offset of the rover coordinate. Since the velocity of the satellite in the coordinate axis direction is almost constant and the rover coordinate offset is constant in a short time, it can be considered that the rover satellite distance variation is approximately equal in a short time, that is, the rover satellite distance variation is approximately equal in a short time Δ ρ ^ t k - Δk t k ≈ Δ ρ ^ t k t k + Δk . The influence of the rover coordinate offset on the double-difference carrier ionosphere-free combined calculated value is accumulative in time. Therefore, in the case of no gross error of the L1 and L2 carriers, the ionosphere-free combination value of the adjacent epoch double-difference carrier is approximately equal to the difference value of the calculation value of the observation equation, and the obvious linear characteristic is presented, that is: Δ ▿ P ( j + 1 ) - Δ ▿ P ( j ) ≈ Δ ▿ P ( j ) - Δ ▿ P ( j - 1 ) (1.4)
wherein,
Figure BDA00002968864500033
and the difference value between the ionization layer-free combination value of the j +1 th epoch double-difference carrier and the calculation value of the observation equation is obtained.
Using the first two known epochsAnd interpolating the value to obtain the estimated value of the current epoch:
Δ ▿ P ~ ( j + 1 ) ≈ 2 · Δ ▿ P ( j ) - Δ ▿ P ( j - 1 ) - - - ( 1.5 )
wherein,
Figure BDA00002968864500036
is the j +1 th epoch
Figure BDA00002968864500037
An estimate of (2);
Figure BDA00002968864500038
and
Figure BDA000029688645000318
j and j-1 epochs respectively
Figure BDA00002968864500039
True value of (1). If the (j + 1) th epoch is in gross error, then use
Figure BDA000029688645000310
And
Figure BDA000029688645000311
interpolating an estimate of the j +2 th epoch
Figure BDA000029688645000312
And so on.
(3) Judging whether the current epoch carrier observed value contains gross error:
due to the fact that
Figure BDA000029688645000313
Figure BDA000029688645000314
From the formula (1.1), when L is1、L2When the gross error occurs in the carrier wave (the satellite carrier wave signals with two different frequencies), the gross error is respectively reduced by 0.562 times and 0.438 times to be reflected in
Figure BDA000029688645000315
In (1). In order to detect a gross error of 0.1 week or more, the threshold is set to
Figure BDA000029688645000316
When in use
Figure BDA000029688645000317
If so, the observed value is considered to contain no gross error, otherwise, the observed value is considered to contain gross error.
By the observation constant-based gross error detection method in GNSS baseline solution, the problems that a single gross error cannot be positioned and continuous gross error detection is difficult in GNSS baseline solution are effectively solved.
Drawings
FIG. 1 is a flow chart of gross error detection based on observed constants in baseline solution.
FIG. 2 shows the P346 station after adding a single gross error
Figure BDA00002968864500041
The true value and its threshold.
FIG. 3 shows the P346 station after adding a single gross error
Figure BDA00002968864500042
The case where the true value exceeds the upper threshold value is represented by the difference between the upper threshold value and the true value.
FIG. 4 shows P346 station after adding successive gross errors
Figure BDA00002968864500043
The true value and its threshold.
FIG. 5 shows P346 station after adding successive gross errors
Figure BDA00002968864500044
The case where the true value exceeds the lower threshold is represented by the difference between the lower threshold and the true value.
Detailed Description
The gross error detection method based on the observation constant is specifically realized as follows:
(1) pseudo-range point positioning is carried out to obtain the approximate coordinates of the rover station;
(2) correcting the convection layer by using a UNB3m model;
(3) substituting the approximate coordinates of the rover station and the troposphere delay into the right side of the equation (1.1) with equal sign, neglecting the orbit error and the multipath effect, and obtaining a calculated value of the double-difference carrier ionosphere-free combination;
(4) substituting the observed values of the L1 and L2 carriers into the left side of a formula (1.1) to obtain a double-difference carrier ionosphere-free combined value;
(5) calculating the difference value between the combined value without the ionized layer of the double-difference carrier and the calculated value of the observation equation
Figure BDA00002968864500045
Using the first two epochs
Figure BDA00002968864500046
Linear interpolation of the values to obtain the current epoch
Figure BDA00002968864500047
Threshold value of
Figure BDA00002968864500048
(6) Calculating the current epoch
Figure BDA00002968864500049
Value and threshold
Figure BDA000029688645000410
And comparing to judge whether the gross errors exist.
Example one
To demonstrate the effectiveness of the gross error detection method based on observed constants, a baseline of 200km length was tested using a combination of the CMBB station of the CORS network (university of Columbia, Inc., Calif.) and the P346 station (Laporter, Inc., Indiana, Laporte, Calif.) at 2011, 15 minutes at 23 months and 15 minutes at 23 days, to establish a baseline, where CMBB (university of Columbia, Inc., Calif.) is the base station and P346 is the rover. And selecting a G03 satellite as a research object by taking a G08 satellite as a reference satellite.
Constructing a double-difference carrier ionosphere-free combination value equation:
Figure BDA000029688645000411
(1.1)
Figure BDA000029688645000412
wherein,
Figure BDA000029688645000413
a double difference operator; f. of1And f2Are respectively L1、L2(satellite carrier signals of two different frequencies) carrier frequency;and
Figure BDA00002968864500052
are respectively L1、L2A carrier phase observation; lambda [ alpha ]WIs the widelane ambiguity; rho is a satellite-earth distance, and the precision in pseudo-range single-point positioning is meter level; o, M are orbit errors and multipath effects, respectively, which can be ignored in the double difference equation; t is tropospheric delay, corrected with the new university of unreal UNB3m tropospheric model; n is a radical of1And N2Are respectively L1、L2Carrier ambiguity. In equation (1.1), the equation holds when all parameters are exact values. The left side of the equal sign of the formula (1.1) is a double-difference carrier non-ionosphere combination value, and the right side of the equal sign is a double-difference carrier non-ionosphere combination calculated value. Due to L1、L2The precision of the carrier observed value is 0.01 week, so the left side of the equal sign can be regarded as the precise value, and the right side of the equal sign is subjected to double-difference distance between earth and earth
Figure BDA00002968864500053
Double differential troposphere
Figure BDA00002968864500054
The influence of parameter precision has with the left type double difference carrier non-ionized layer combination valueA certain deviation.
(2) Estimating by using the difference value between the ionosphere-free combination value of the first two epoch double-difference carriers and the observation equation calculation value to obtain the threshold value of the corresponding difference value of the current epoch:
the coordinates of the reference station in the baseline solution are precisely known, so the double-difference range accuracy depends mainly on the rover range. The rover station satellite range can be obtained by the satellite coordinates and the rover station pseudorange single-point positioning coordinates:
ρ ^ = { X i - ( X r + ΔX ) } 2 + { Y i - ( Y r + ΔY ) } 2 + { Z i - ( Z r + ΔZ ) } 2 - - - ( 1.2 )
wherein,
Figure BDA00002968864500056
calculating the rover guard distance; xi、Yi、ZiRespectively the coordinates of the ith satellite; xr、Yr、ZrThe r coordinates of the rover (whether the rover represents yes by r) are true values respectively; Δ X, Δ Y, and Δ Z are deviations of coordinates of the rover r (which is the same rover as the above rover) obtained from the pseudorange single-point positioning from real values of the rover coordinates, respectively.
As can be seen from the formula (2.2),
Figure BDA00002968864500057
the magnitude of the change over time is only affected by the amount of satellite coordinate change. At adjacent time tk、tk+△kThe variation of the rover gauge to the ground is as follows:
Δ ρ ^ t k t k + Δk = ρ ^ ( t k ) 2 + 2 Δt ( V X · X + V Y · Y + V Z · Z ) + Δ 2 - ρ ^ ( t k ) - - - ( 1.3 )
wherein, Δ ρ ^ t k t k + Δk is (t)k,tk+△k) The change of the sanitary distance of the flow station in the time period;
Figure BDA000029688645000510
is tkThe distance between the guards and the ground at the moment; Δ t = tk+△k-tk;VX、VY、VZAre respectively satellite at (t)k,tk+△k) Average velocity along axis X, Y, Z over a period of time; x = Xi-(Xr+△X),Y=Yi-(Yr+△Y),Z=Zi-(Zr+△Z),△2=△X2+△Y2+△Z2
According to analysis, the variation of the rover satellite distance is related to the speed of the satellite along the coordinate axis direction and the offset of the rover coordinate. Since the velocity of the satellite in the coordinate axis direction is almost constant and the rover coordinate offset is constant in a short time, it can be considered that the rover satellite distance variation is approximately equal in a short time, that is, the rover satellite distance variation is approximately equal in a short time Δ ρ ^ t k - Δk t k ≈ Δ ρ ^ t k t k + Δk . Shadow of rover coordinate offset on double-difference carrier ionosphere-free combined calculated valueThe responses are additive in time. Therefore, in the case of no gross error of the L1 and L2 carriers, the ionosphere-free combination value of the adjacent epoch double-difference carrier is approximately equal to the difference value of the calculation value of the observation equation, and the obvious linear characteristic is presented, that is: Δ ▿ P ( j + 1 ) - Δ ▿ P ( j ) ≈ Δ ▿ P ( j ) - Δ ▿ P ( j - 1 ) (14)
wherein,
Figure BDA00002968864500063
and the difference value between the ionization layer-free combination value of the j +1 th epoch double-difference carrier and the calculation value of the observation equation is obtained.
Using the first two known epochs
Figure BDA000029688645000623
And interpolating the value to obtain the estimated value of the current epoch:
Δ ▿ P ~ ( j + 1 ) ≈ 2 · Δ ▿ P ( j ) - Δ ▿ P ( j - 1 ) - - - ( 1.5 )
wherein,is the j +1 th epoch
Figure BDA00002968864500066
An estimate of (2);
Figure BDA00002968864500067
and
Figure BDA00002968864500068
j and j-1 epochs respectivelyTrue value of (1). If the (j + 1) th epoch is in gross error, then use
Figure BDA000029688645000610
Andinterpolating an estimate of the j +2 th epoch
Figure BDA000029688645000612
And so on.
(3) Judging whether the current epoch carrier observed value contains gross error:
due to the fact that
Figure BDA000029688645000613
Figure BDA000029688645000614
From the formula (1.1), when L is1、L2When the coarse difference appears in the carrier wave, the coarse difference is respectively reduced by 0.562 times and 0.438 times to be reflected inIn (1). In order to detect a gross error of 0.1 week or more, the threshold is set to
Figure BDA000029688645000616
When in use | &Delta; &dtri; P ~ ( j + 1 ) - &Delta; &dtri; P ( j + 1 ) | < 0.04 If so, the observed value is considered to contain no gross error, otherwise, the observed value is considered to contain gross error.
The pseudorange single-point positioning equation is constructed to obtain the approximate coordinates of the P346 station, and the tropospheric delay values of the CMBB station and the P346 station are obtained by using the UNB3m model. Constructing a double-difference ionosphere-free carrier combination value (formula 1.1), and calculating the difference value between the double-difference ionosphere-free carrier combination value and the calculation value of an observation equation
Figure BDA000029688645000618
Using the first two epochs
Figure BDA000029688645000619
Andinterpolation is carried out to obtain the estimated value of the difference value between the current epoch double-difference carrier ionosphere-free combination value and the observation equation calculated value
Figure BDA000029688645000621
(equation 1.5), setting a threshold valueAnd judging whether the current epoch carrier observed value contains a gross error.
To prove that the gross error detection method based on the observation constant has good effect on detecting single gross error and continuous gross error, the experiment is divided into two parts:
experiment one: coarse differences of 0.1, 0.2 and 0.3 weeks are added to the 11 th epoch, the 21 st epoch and the 31 st epoch respectively at the P346 station, and the threshold value and the true value of the difference value between the double-difference carrier ionosphere-free combination value and the calculated value of the observation equation of the corresponding epoch are calculated as shown in fig. 1, and fig. 2 shows the case that the true value of the difference value between the double-difference carrier ionosphere-free combination value and the calculated value of the observation equation exceeds the upper limit (lower limit) of the threshold value.
Experiment two: the cycle gross errors of-0.1, -0.2 and-0.3 are added into 10 th to 12 th, 20 th to 22 th and 30 th to 32 th epochs of the P346 station respectively, the threshold value and the true value of the difference value between the double-difference carrier ionosphere-free combination value and the calculation value of the observation equation of the corresponding epoch are calculated as shown in figure 3, and figure 4 shows the condition that the true value of the difference value between the double-difference carrier ionosphere-free combination value and the calculation value of the observation equation exceeds the upper limit (lower limit) of the threshold value.
Through the first experiment and the second experiment, the gross error detection method based on the observation constant has good effect on detecting single gross error and continuous gross error.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that several contemplated modifications and adaptations can be made without departing from the principles of the invention and these are intended to be included within the scope of the invention.

Claims (3)

1. A method for detecting gross error based on observation constant in global satellite navigation system GNSS baseline solution is characterized in that:
(1) pseudo-range point positioning is carried out to obtain the approximate coordinates of the rover station;
(2) correcting the convection layer by using a UNB3m model;
(3) according to the approximate coordinates of the rover station and the troposphere delay, and neglecting the orbit error and the multipath effect, obtaining a calculated value of the double-difference carrier ionosphere-free combination;
(4) obtaining a double-difference carrier ionosphere-free combination value according to L1 and L2 carrier observation values, wherein L1 and L2 are satellite carrier signals with two different frequencies;
(5) the difference value of the combined value without the ionized layer of the double-difference carrier and the calculated value of the observation equation is obtainedUsing the first two epochs
Figure FDA00002968864400012
Linear interpolation of the values to obtain the current epoch
Figure FDA00002968864400013
Threshold value of
(6) Will be the current epoch
Figure FDA00002968864400015
Value and threshold
Figure FDA00002968864400016
And comparing to judge whether the gross error is contained.
2. The method of claim 1, wherein the equation for the double-difference carrier ionosphere-free combined value is:
Figure FDA00002968864400017
(1.1)
Figure FDA00002968864400018
wherein,a double difference operator; f. of1And f2Are respectively L1、L2Carrier frequency, wherein L1 and L2 are satellite carrier signals of two different frequencies;
Figure FDA000029688644000110
and
Figure FDA000029688644000111
are respectively L1、L2A carrier phase observation; lambda [ alpha ]WIs the widelane ambiguity; rho is a satellite-earth distance, and the precision in pseudo-range single-point positioning is meter level; o, M are orbit errors and multipath effects, respectively, which can be ignored in the double difference equation; t is tropospheric delay, corrected with the new university of unreal UNB3m tropospheric model; n is a radical of1And N2Are respectively L1、L2Carrier ambiguity, in equation (1.1), when all parameters are accurate values, the equation holds;
in the formula (1.1), the left side of the equal sign is a double-difference carrier non-ionized layer combination value, and the right side of the equal sign is a double-difference carrier non-ionized layer combination calculation value because L1、L2The precision of the carrier observed value is 0.01 week, so the left side of the equal sign can be regarded as the precise value, and the double-difference distance between the earth and the ground is received
Figure FDA000029688644000112
Double differential troposphere
Figure FDA000029688644000113
The influence of parameter precision, equal sign right and left formula side double difference carrier do not have the ionosphere composite value and have certain deviation.
3. The GNSS baseline solution of claim 1, wherein the difference between the ionosphere-free combination of the double difference carriers and the calculated value of the observation equation is calculated by
Figure FDA00002968864400021
Using the first two epochs
Figure FDA00002968864400022
Linear interpolation of the values to obtain the current epoch
Figure FDA00002968864400023
Threshold value of
Figure FDA00002968864400024
Comprises the following steps:
the coordinates of the reference station in the baseline solution are accurately known, so the precision of the double-difference range mainly depends on the rover range, and the rover range can be obtained by the satellite coordinates and the rover pseudorange single-point positioning coordinates:
&rho; ^ = { X i - ( X r + &Delta;X ) } 2 + { Y i - ( Y r + &Delta;Y ) } 2 + { Z i - ( Z r + &Delta;Z ) } 2 - - - ( 1.2 )
wherein,calculating the rover guard distance; xi、Yi、ZiRespectively the coordinates of the ith satellite; xr、Yr、ZrRespectively are r coordinate true values of the rover station; DeltaX, DeltaY and DeltaZ are respectively the deviation of the coordinate of the rover r obtained by pseudo-range single-point positioning compared with the true value of the coordinate of the rover,
as can be seen from the formula (1.2),
Figure FDA00002968864400027
the magnitude of the change over time is only affected by the amount of satellite coordinate change. At adjacent time tk、tk+△kThe variation of the rover gauge to the ground is as follows:
&Delta; &rho; ^ t k t k + &Delta;k = &rho; ^ ( t k ) 2 + 2 &Delta;t ( V X &CenterDot; X + V Y &CenterDot; Y + V Z &CenterDot; Z ) + &Delta; 2 - &rho; ^ ( t k ) - - - ( 1.3 )
wherein, &Delta; &rho; ^ t k t k + &Delta;k is (t)k,tk+△k) The change of the sanitary distance of the flow station in the time period;
Figure FDA000029688644000210
is tkThe distance between the guards and the ground at the moment; Δ t = tk+△k-tk;VX、VY、VZAre respectively satellite at (t)k,tk+△k) Average velocity along axis X, Y, Z over a period of time; x = Xi-(Xr+△X),Y=Yi-(Yr+△Y),Z=Zi-(Zr+△Z),△2=△X2+△Y2+△Z2
As can be seen from the analysis, the rover satellite distance variation is related to the speed of the satellite in the coordinate axis direction and the rover coordinate offset, and since the speed of the satellite in the coordinate axis direction is almost constant and the rover coordinate offset is constant in a short time, the rover distance variation is considered to be approximately equal in a short time, that is, the rover distance variation is considered to be approximately equal in a short time &Delta; &rho; ^ t k - &Delta;k t k &ap; &Delta; &rho; ^ t k t k + &Delta;k , The influence of the rover coordinate offset on the double-difference carrier ionosphere-free combination calculated value is accumulative in time, so that under the condition that the L1 and the L2 carriers have no gross error, the difference value of the adjacent epoch double-difference carrier ionosphere-free combination value and the observation equation calculated value is approximately equal, and the obvious linear characteristic is presented, namely:
&Delta; &dtri; P ( j + 1 ) - &Delta; &dtri; P ( j ) &ap; &Delta; &dtri; P ( j ) - &Delta; &dtri; P ( j - 1 ) - - - ( 1.4 )
wherein,
Figure FDA000029688644000212
the difference value between the combined value of the j +1 th epoch double-difference carrier wave without the ionized layer and the calculation value of the observation equation is obtained;
using the first two known epochs
Figure FDA000029688644000213
And interpolating the value to obtain the estimated value of the current epoch:
&Delta; &dtri; P ~ ( j + 1 ) &ap; 2 &CenterDot; &Delta; &dtri; P ( j ) - &Delta; &dtri; P ( j - 1 ) - - - ( 1.5 )
wherein,
Figure FDA00002968864400032
is the j +1 th epoch
Figure FDA00002968864400033
An estimate of (2);
Figure FDA00002968864400034
andj and j-1 epochs respectivelyTrue value of (1). If the (j + 1) th epoch is in gross error, then useAnd
Figure FDA00002968864400038
interpolating an estimate of the j +2 th epoch
Figure FDA00002968864400039
And so on.
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CN103630914A (en) * 2013-12-10 2014-03-12 中南大学 GNSS baseline solution reference satellite selecting method
CN104459722B (en) * 2014-11-13 2018-09-21 中交三航局第三工程有限公司 A kind of integer ambiguity certificate authenticity method based on redundant obser ration part
CN105204047A (en) * 2015-10-13 2015-12-30 中国石油大学(华东) Detection and repair method for single gross error of observed quantity in satellite navigation system
CN105403903A (en) * 2015-11-02 2016-03-16 青岛杰瑞自动化有限公司 Carrier attitude measurement method and equipment
CN106338738A (en) * 2015-11-13 2017-01-18 上海华测导航技术股份有限公司 Pierce point-based regional augmentation system real-time ionosphere modeling method
CN106338738B (en) * 2015-11-13 2019-07-26 上海华测导航技术股份有限公司 Local Area Augmentation System real-time ionospheric modeling method based on point of puncture
CN108196277A (en) * 2017-12-18 2018-06-22 上海司南卫星导航技术股份有限公司 A kind of method of quick judgement Baselines quality
CN108196277B (en) * 2017-12-18 2021-07-30 上海司南卫星导航技术股份有限公司 Method for rapidly judging baseline resolving quality
CN108469622A (en) * 2018-06-22 2018-08-31 北京电子工程总体研究所 Satellite navigation data integrity detecting system based on adaptive threshold and method
CN109029237A (en) * 2018-09-20 2018-12-18 中电建路桥集团有限公司 A kind of GNSS monitoring net Quasi dynamic data processing method based on static baseline observation
CN109029237B (en) * 2018-09-20 2020-09-08 中电建路桥集团有限公司 GNSS monitoring network quasi-dynamic data processing method based on static baseline observation value
CN111352135A (en) * 2020-03-24 2020-06-30 广东星舆科技有限公司 Pseudo-range gross error detection method, device and readable storage medium
CN111323798B (en) * 2020-03-24 2021-04-09 中国科学院国家空间科学中心 GNSS occultation ionosphere error correction method and system based on ionosphere observation data
CN115267855A (en) * 2022-09-30 2022-11-01 中南大学 Abnormal value detection method and deviation positioning method in GNSS-INS tight combination
CN115267855B (en) * 2022-09-30 2023-02-03 中南大学 Abnormal value detection method and differential positioning method in GNSS-INS tight combination
CN116719073A (en) * 2023-08-09 2023-09-08 深圳华大北斗科技股份有限公司 GNSS (Global navigation satellite System) solution domain-oriented coarse difference detection and rejection method
CN116719073B (en) * 2023-08-09 2023-10-20 深圳华大北斗科技股份有限公司 GNSS (Global navigation satellite System) solution domain-oriented coarse difference detection and rejection method

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