CN103176188B - Single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation - Google Patents

Single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation Download PDF

Info

Publication number
CN103176188B
CN103176188B CN201310087988.5A CN201310087988A CN103176188B CN 103176188 B CN103176188 B CN 103176188B CN 201310087988 A CN201310087988 A CN 201310087988A CN 103176188 B CN103176188 B CN 103176188B
Authority
CN
China
Prior art keywords
dtri
blur level
star
satellite
poor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201310087988.5A
Other languages
Chinese (zh)
Other versions
CN103176188A (en
Inventor
邹璇
葛茂荣
施闯
刘经南
唐卫明
楼益栋
宋伟伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan University WHU
Original Assignee
Wuhan University WHU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan University WHU filed Critical Wuhan University WHU
Priority to CN201310087988.5A priority Critical patent/CN103176188B/en
Publication of CN103176188A publication Critical patent/CN103176188A/en
Application granted granted Critical
Publication of CN103176188B publication Critical patent/CN103176188B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention provides a single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation. The single-epoch fixing method comprises the following steps of: improving the ambiguity convergence time of a PPP-RTK method by carrying out optimizing ordering on the fixing feasibility of single-difference ambiguity between alternative satellites, respectively modeling for an observed value residual error of a CA/P1 pseudo-range and observed value residual errors of L1 and L2 phase positions by adopting a single-reference station processing mode based on a PPP-RTK technique, and realizing the single-epoch fixing of combined ambiguity of an ionization-free layer through step-by-step solving of the ambiguity in consideration of a linear constraint relationship between the high precision of a pseudo-range observed value, long wavelength of a wide-lane observed value, wide-lane ambiguity and L1 ambiguity after a user refines the models, thus the determination time of the PPP ambiguity is minimized, and the working efficiency of precisely locating the user is improved to the maximum degree.

Description

A kind of region ground strengthens PPP-RTK blur level list fixing means epoch
Technical field
The invention belongs to Global Navigation System field, about the blur level technique for fixing of Static Precise Point Positioning (PPP), particularly a kind of region ground strengthens PPP-RTK blur level list fixing means epoch.
Background technology
Based on region ground, strengthening net realizes Static Precise Point Positioning blur level list and determines it is study hotspot and the difficulties of current Technique of Satellite Navigation and Positioning epoch." the network RTK method based on non-poor observation " that the scholars such as Ge propose [1]and the scholar such as Teunissen " the PPP-RTK method based on CORS net " that propose [2]feasibility is provided for realizing this goal, yet existing method is just carried out modeling to the non-poor observed reading residual error of the carrier phase at base station place, because this information has not only comprised ionosphere delay, not modeled tropospheric delay, satellite orbit, the impact of satellite clock correction equal error have also been comprised, and original pseudorange only can be eliminated ionosphere delay impact without ionosphere combination observation value (PC), so there is inconsistency in the residual error that user carries out comprising in carrier phase observation data after model correction and original PC pseudorange.This inconsistent being equivalent to has added a group system sexual deviation in Pseudo-range Observations, thereby affects speed of convergence and reliability that carrier phase ambiguity resolves.
In addition " region ground strengthens information list base station modeling method " proposing according to scholars such as Li, [3]time, because needing long-time continuous observation, base station zenith tropospheric delay just can obtain comparatively stable valuation, and the residual error Δ ztd of zenith tropospheric delay can be converted into by tropospheric delay mapping function the delay error of oblique path direction, when this will affect Static Precise Point Positioning without ionosphere combinational fuzzy degree N iFestimation accuracy, and then cause by N iFwith wide lane ambiguity (N wL) inverse gained L1 blur level (N l1) generation deviation (Δ N iF), even resolve mistake (as shown in formula (a) and (b), f wherein l1, f l2and finally cause the region ground of generation error to strengthen information frequency for L1, L2 observed reading).Therefore,, according to PPP-RTK method, for guaranteeing the fixedly reliability of result of the non-poor blur level in base station place, whole region ground enhancing system is difficult to realize fast initialization.
N L 1 = f L 1 + f L 2 f L 1 ( N IF + ΔN IF ) - f L 2 f L 1 - f L 2 N WL - - - ( a )
N L2=N L1-N WL (b)
List of references:
[1]Ge M.R.,Zou X.,Dick G.,Jiang W.P.,Wickert J.,Liu J.N.(2010).An alternative Network RTK approach based on undifferenced observation corrections,ION GNSS 2010(Oral report).
[2]Teunissen P.J.G.,Odijk D.,Zhang B.(2010).PPP-RTK:Results of CORS network-based PPP with integer ambiguity resolution,Journal of Aeronautics,Astronautics and Aviation,Series A,42(4):223-230.
[3]Li X.X.,Zhang X.H.,Ge M.R.(2011).Regional reference network augmented precise point positioning for instantaneous ambiguity resolution,Journal of Geodesy,85(3):151-158.
Summary of the invention
For region ground, strengthen base station error Real-time modeling set method, system initialization speed, and these several class problems of user's blur level list fixing means epoch, the present invention proposes a kind of region ground and strengthens PPP-RTK blur level list fixing means epoch.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
Region ground strengthens PPP-RTK blur level list fixing means epoch, comprises the following steps,
Step 1, calculate the non-poor observed reading residual error of L1, L2 carrier phase of the non-poor observed reading residual sum deblurring degree impact of the CA/P1 of base station place pseudorange, and using it as region ground, strengthen information distributing to user in net, specifically comprise:
Step 1.1, the observation data of utilizing IGS real-time accurate satellite orbit, real-time accurate satellite clock correction product and global equally distributed base station are calculated in real time satellite hardware according to conventional PPP-RTK method and are postponed UPD;
Step 1.2, the fixedly feasibility of single poor blur level between alternative star is optimized to sequence;
Step 1.3, utilize the satellite hardware of calculating in real time to postpone UPD information and observation data that fixedly sequence of feasibility strengthens base station to each region ground to carry out PPP-RTK blur level and fix, obtain single poor blur level static solution between its star;
Step 1.4, setting reference satellite, according to known ground, strengthen base station coordinate, utilize formula (1) inverse to obtain CA/P1 pseudorange error information that satellite orbit, satellite clock correction, atmospheric refraction etc. are corresponding and L1, L2 phase error information, i.e. the non-poor observed reading residual error Omc of the pseudorange of base station now p1the non-poor observed reading residual error Omc of phase place with the impact of deblurring degree l1and Omc l2, and using it as region ground, strengthen information distributing to user in net;
Omc P1=O P1-ρ-ct+cT+M P1
Omc L1=(O L1+N L1L1-ρ-ct+cT+M L1 (1)
Omc L2=(O L2+N L2L2-ρ-ct+cT+M L2
Wherein, O p1, O l1, O l2for the CA/P1 pseudorange at base station place and L1, L2 phase observations value, N l1, N l2for the non-poor blur level of the L1 of base station place, L2 calculating according to PPP-RTK method, λ l1, λ l2for L1, L2 phase observations value wavelength, ρ is survey station inter-satellite geometric distance, and c is the light velocity in vacuum, and t, T are receiver and satellite clock correction, M p1, M l1, M l2reduction for the CA/P1 pseudorange that utilizes existing error model to calculate, L1, L2 observed reading;
Step 2, user obtain according to himself approximate coordinates and neighboring area ground strengthens the relative position relation between base station, by the periphery base station region ground enhancing information to obtaining, carry out matching interpolation, calculate user and locate corresponding ground and strengthen information, user is located to carrier phase and Pseudo-range Observations is refined;
Step 3, according to region ground, strengthen the fixing three-step approach of Static Precise Point Positioning user's blur level and resolve fast He Wu ionosphere, Qi Kuan lane combinational fuzzy degree;
Employing by wide lane ambiguity, L1 blur level to without ionosphere combination observation value blur level progressively fixing three-step approach resolve single poor blur level user satellite, specifically comprise the following steps:
CA/P1 Pseudo-range Observations after step 3.1, utilization are refined with the Hou Kuan lane carrier phase observation data of refining form single poor joint observation equation between star, as shown in Equation (2), by single poor wide lane ambiguity ▽ N between LAMBDA algorithm search star wL, and be aided with the fixedly validity of result of RATIO check judgement blur level;
▿ O ^ P 1 = ▿ ρ - c ▿ T - ▿ M P 1 ▿ O ^ WL = ▿ ρ - c ▿ T - ▿ M WL λ WL - ▿ N WL - - - ( 2 )
Wherein, ▽ ρ is single poor result between the star of survey station inter-satellite geometric distance, and c is the light velocity in vacuum, and ▽ T is single poor satellite clock correction between star, ▽ M p1, ▽ M wLfor single poor reduction between the star of the CA/P1 pseudorange that utilizes existing error model to calculate, wide lane phase observations value, λ wLwei Kuan lane phase observations value wavelength;
Step 3.2, the Hou Kuan lane carrier phase of refining are apart from observed reading with refine after without ionosphere combined carriers phase observations value form single poor joint observation equation between star, as shown in Equation (3), calculate without ionosphere combinational fuzzy degree floating-point solution ▽ N iF, according to formula (4), calculate between star the floating-point solution ▽ N of single poor L1 blur level l1;
▿ O ^ WL = ▿ ρ - c ▿ T - ▿ M WL λ WL - ▿ N WL ▿ O ^ IF = ▿ ρ - c ▿ T - ▿ M IF λ IF - ▿ N IF - - - ( 3 )
▿ N L 1 = f L 1 + f L 2 f L 1 ▿ N IF - f L 2 f L 1 - f L 2 ▿ N WL - - - ( 4 )
Wherein, ▽ M iFfor utilize that existing error model calculates without on duty for the week poor reduction of list of ionosphere combination observation, λ iFfor without ionosphere combinatorial phase observed reading wavelength, f l1, f l2frequency for L1, L2 observed reading;
Utilize single poor wide lane ambiguity ▽ N between star wLaccording to formula (5), calculate the approximate value of single poor L1 blur level between star and the virtual observation equation addition method equation during using it as L1 ambiguity resolution;
▿ N ~ L 1 = f L 1 f WL ▿ N WL + c f L 1 ▿ O ^ WL + f L 1 f WL ▿ M WL - c f WL ▿ O ^ L 1 - f L 1 f WL ▿ M L 1 c f WL - - - ( 5 )
Wherein, f wLthe frequency of Wei Kuan lane observed reading, for single poor L1 observed reading between the user satellite after refining, ▽ M l1for on duty for the week the poor reduction of list of L1 observation;
Step 3.3, by single poor L1 blur level between LAMBDA algorithm search star, and be aided with the fixedly validity of result of RATIO check and formula (6) judgement L1 blur level;
| &dtri; N L 1 - &dtri; N ~ L 1 | < e - - - ( 6 )
The precision that error threshold e strengthens information by observation noise and region ground determines, e=0.5;
Utilize blur level ▽ N wL, ▽ N l1, according to formula (7), calculate the static solution ▽ N obtaining without single poor blur level between the corresponding star of ionosphere combination observation value iF, and obtain corresponding blur level static solution positioning result;
&dtri; N IF = f L 1 f L 2 f L 1 2 - f L 2 2 &dtri; N WL + f L 1 f L 1 + f L 2 &dtri; N L 1 - - - ( 7 )
The implementation method of described step 1.2 is: suppose that certain region ground strengthens the Observable n of a base station place satellite, it is sorted from high to low according to survey station place elevation of satellite, satellite list is S 1, S 2s n-1, S nbecause elevation of satellite is with tiltedly path direction tropospheric delay mapping function is directly related, for any satellites in view, it is single poor to select with immediate another satellite composition of its elevation angle, now between the star of tropospheric delay mapping function, single poor result is minimum, the residual error of zenith tropospheric delay also can be relatively minimum on single poor impact without ionosphere combinational fuzzy degree valuation between this group star, therefore according to following principle, the fixedly feasibility of single poor blur level between alternative star sorted, selected:
1) form the elevation angle difference minimum of two satellites of single poor blur level between star;
2) single poor blur level between alternative star is sorted from big to small according to the average height angle of its corresponding two satellites;
3) from whole alternative blur leveles, choosing single poor blur level between one group of separate star resolves;
According to the fixing feasibility principle of ordering of above blur level, between final alternative star, single poor blur level by fixing feasibility order is from high to low: S 1oS 2, S 2oS 3s n-1oS n.
Compared with prior art, the present invention has the following advantages and beneficial effect:
1, the present invention not only calculates the non-poor observed reading residual error of L1, L2 carrier phase of base station place deblurring degree impact, also calculated the non-poor observed reading residual error of the CA/P1 of base station place pseudorange, and above information has been strengthened to information distributing to user in net as region ground in the lump.
2, the present invention, by the fixedly feasibility of single poor blur level between alternative star is optimized to sequence, reduces the blur level convergence time of PPP-RTK method, improves the initialization speed that whole region ground strengthens system.
3, in the present invention, user utilizes region ground enhancing information all to refine to carrier phase and Pseudo-range Observations, high accuracy pseudo range observed reading, the blur level that therefore when blur level is searched for, can make full use of after refining are the hunting zone that between integer, longer wavelength Kuan lane observed reading and double frequency blur level, linear restriction relation removes to dwindle integer ambiguity, improve the state of normal equation, thereby fixing speed and the reliability of single poor blur level between raising star, and resolve real-time single epoch of final feasible region ground enhancing PPP-RTK user blur level.
Accompanying drawing explanation
Fig. 1 is Satellite hardware delay of the present invention (UPD) calculation flow chart in real time.
Fig. 2 is that in the present invention, real-time PPP-RTK blur level is fixed, and single base station formation zone ground strengthens the process flow diagram of information.
Fig. 3 is for adopting original error map while carrying out dynamic single-point location without ionosphere combined pseudorange (PC).
The error map of Fig. 4 when adopting CA/P1 pseudorange after refining to carry out dynamic single-point location.
Fig. 5 is the fixedly feasibility Optimal scheduling schematic diagram of single poor blur level between alternative star.
Fig. 6 is that three-step approach list fixed area epoch ground strengthens PPP-RTK user's blur level schematic diagram.
Fig. 7 is overall flow figure of the present invention.
Embodiment
As shown in Figure 7, this patent is divided into base station and user's two parts:
Region ground strengthens PPP-RTK blur level list fixing means epoch, comprises the following steps,
Base station part:
Step 1, calculate the non-poor observed reading residual error of L1, L2 carrier phase of the non-poor observed reading residual sum deblurring degree impact of the CA/P1 of base station place pseudorange, and using it as region ground, strengthen information distributing to user in net, specifically comprise:
Step 1.1, the observation data of utilizing IGS real-time accurate satellite orbit, real-time accurate satellite clock correction product and global equally distributed 100-120 base station are calculated in real time satellite hardware according to conventional PPP-RTK method and are postponed UPD, and idiographic flow as shown in Figure 1;
Step 1.2, the fixedly feasibility of single poor blur level between alternative star is optimized to sequence;
Concrete implementation method is: suppose that certain region ground strengthens the Observable n of a base station place satellite, it is sorted from high to low according to survey station place elevation of satellite, as shown in Figure 5, satellite list is S 1, S 2s n-1, S nbecause elevation of satellite is with tiltedly path direction tropospheric delay mapping function is directly related, for any satellites in view, it is single poor to select with immediate another satellite composition of its elevation angle, now between the star of tropospheric delay mapping function, single poor result is minimum, the residual error of zenith tropospheric delay also can be relatively minimum on single poor impact without ionosphere combinational fuzzy degree valuation between this group star, therefore according to following principle, the fixedly feasibility of single poor blur level between alternative star sorted, selected:
1) form the elevation angle difference minimum of two satellites of single poor blur level between star;
2) single poor blur level between alternative star is sorted from big to small according to the average height angle of its corresponding two satellites;
3) from whole alternative blur leveles, choosing single poor blur level between one group of separate star resolves;
According to the fixing feasibility principle of ordering of above blur level, between final alternative star, single poor blur level by fixing feasibility order is from high to low: S 1oS 2, S 2oS 3s n-1oS n;
Step 1.3, utilize the satellite hardware of calculating in real time to postpone the observation data that fixedly sequence of feasibility strengthens base station to each region ground of single poor blur level between UPD information and star to carry out PPP-RTK blur level and fix, obtain the poor blur level static solution of list between its star; As this group blur level cannot be fixed simultaneously, delete single poor blur level between one group of the poorest alternative star of fixing feasibility, and re-start blur level Iterative, until single poor blur level between fixing star as much as possible;
Step 1.4, by setting reference satellite, the non-poor blur level that is about to reference satellite is set as a certain appointment numerical value, can be mapped as the non-poor blur level that each satellite is corresponding by resolving single poor blur level between the star obtaining, as shown in Figure 2, according to known ground, strengthen base station coordinate, utilize formula (1) inverse to obtain CA/P1 pseudorange error information that satellite orbit, satellite clock correction, atmospheric refraction etc. are corresponding and L1, L2 phase error information, i.e. the non-poor observed reading residual error Omc of the pseudorange of base station now p1the non-poor observed reading residual error Omc of phase place with the impact of deblurring degree l1and Omc l2, and using it as region ground, strengthen information distributing to user in net;
Omc P1=O P1-ρ-ct+cT+M P1
Omc L1=(O L1+N L1L1-ρ-ct+cT+M L1 (1)
Omc L2=(O L2+N L2L2-ρ-ct+cT+M L2
Wherein, O p1, O l1, O l2for the CA/P1 pseudorange at base station place and L1, L2 phase observations value, N l1, N l2for the non-poor blur level of the L1 of base station place, L2 calculating according to PPP-RTK method, λ l1, λ l2for L1, L2 phase observations value wavelength, ρ is survey station inter-satellite geometric distance, and c is the light velocity in vacuum, and t, T are receiver and satellite clock correction, M p1, M l1, M l2reduction for the CA/P1 pseudorange that utilizes existing various Error Correction Model to calculate, L1, L2 observed reading;
User Part:
Step 2, user obtain according to himself approximate coordinates and neighboring area ground strengthens the relative position relation between base station, by the periphery base station region ground enhancing information to obtaining, carry out matching interpolation, calculate user and locate corresponding ground and strengthen information, user is located to carrier phase and Pseudo-range Observations refine (Correction of Errors);
Comparison diagram 3 and Fig. 4 are known, and after user refines to Pseudo-range Observations, the dynamic Point-positioning Precision of its pseudorange has obtained remarkable lifting, and positioning result is generally better than 1m, and this is also the realization basis of step 3;
Step 3, according to region ground, strengthen the fixing three-step approach of Static Precise Point Positioning user's blur level and resolve fast He Wu ionosphere, Qi Kuan lane combinational fuzzy degree;
Employing by wide lane ambiguity, L1 blur level to without ionosphere combination observation value blur level progressively fixing three-step approach resolve single poor blur level user satellite, as shown in Figure 6, specifically comprise the following steps:
CA/P1 Pseudo-range Observations after step 3.1, utilization are refined with the Hou Kuan lane carrier phase observation data of refining form single poor joint observation equation between star, as shown in Equation (2), because higher (being better than 0.5m, with reference to figure 4) of the Pseudo-range Observations precision after refining and wide lane ambiguity wavelength are grown (86cm), therefore generally can search for single poor wide lane ambiguity ▽ N between star epoch by LAMBDA algorithm list wL, and be aided with the fixedly validity of result of RATIO check judgement blur level;
&dtri; O ^ P 1 = &dtri; &rho; - c &dtri; T - &dtri; M P 1 &dtri; O ^ WL = &dtri; &rho; - c &dtri; T - &dtri; M WL &lambda; WL - &dtri; N WL - - - ( 2 )
Wherein, ▽ ρ is single poor result between the star of survey station inter-satellite geometric distance, and c is the light velocity in vacuum, and ▽ T is single poor satellite clock correction between star, ▽ M p1, ▽ M wLfor the CA/P1 that utilizes existing various Error Correction Model to calculate, on duty for the week the poor reduction of list of wide lane observation, λ wLwei Kuan lane phase observations value wavelength;
Step 3.2, the Hou Kuan lane carrier phase of refining are apart from observed reading with refine after without ionosphere combined carriers phase observations value form single poor joint observation equation between star, as shown in Equation (3), calculate without ionosphere combinational fuzzy degree floating-point solution ▽ N iF, according to formula (4), calculate between star the floating-point solution ▽ N of single poor L1 blur level l1;
&dtri; O ^ WL = &dtri; &rho; - c &dtri; T - &dtri; M WL &lambda; WL - &dtri; N WL &dtri; O ^ IF = &dtri; &rho; - c &dtri; T - &dtri; M IF &lambda; IF - &dtri; N IF - - - ( 3 )
&dtri; N L 1 = f L 1 + f L 2 f L 1 &dtri; N IF - f L 2 f L 1 - f L 2 &dtri; N WL - - - ( 4 )
Wherein, ▽ M iFfor utilize that existing various Error Correction Model calculate without on duty for the week poor reduction of list of ionosphere combination observation, λ iFfor without ionosphere combinatorial phase observed reading wavelength, f l1, f l2frequency for L1, L2 observed reading;
Utilize single poor wide lane ambiguity ▽ N between star wLaccording to formula (5), calculate the approximate value of single poor L1 blur level between star and the virtual observation equation addition method equation during using it as L1 ambiguity resolution;
&dtri; N ~ L 1 = f L 1 f WL &dtri; N WL + c f L 1 &dtri; O ^ WL + f L 1 f WL &dtri; M WL - c f WL &dtri; O ^ L 1 - f L 1 f WL &dtri; M L 1 c f WL - - - ( 5 )
Wherein, f wLthe frequency of Wei Kuan lane observed reading, for single poor L1 observed reading between the user satellite after refining, ▽ M l1for on duty for the week the poor reduction of list of L1 observation that utilizes existing various Error Correction Model to calculate;
Step 3.3, by single poor L1 blur level between LAMBDA algorithm search star, and be aided with the fixedly validity of result of RATIO check and formula (6) judgement L1 blur level;
| &dtri; N L 1 - &dtri; N ~ L 1 | < e - - - ( 6 )
The precision that error threshold e strengthens information by observation noise and region ground determines, e=0.5;
Utilize blur level ▽ N wL, ▽ N l1, according to formula (7), calculate the static solution ▽ N obtaining without single poor blur level between the corresponding star of ionosphere combination observation value iF, and obtain corresponding blur level static solution positioning result;
&dtri; N IF = f L 1 f L 2 f L 1 2 - f L 2 2 &dtri; N WL + f L 1 f L 1 + f L 2 &dtri; N L 1 - - - ( 7 ) .

Claims (2)

1. region ground strengthens PPP-RTK blur level list fixing means epoch, it is characterized in that: comprise the following steps,
Step 1, calculate the non-poor observed reading residual error of L1, L2 carrier phase of the non-poor observed reading residual sum deblurring degree impact of the CA/P1 of base station place pseudorange, and using it as region ground, strengthen information distributing to user in net, specifically comprise:
Step 1.1, the observation data of utilizing IGS real-time accurate satellite orbit, real-time accurate satellite clock correction product and global equally distributed base station are calculated in real time satellite hardware according to conventional PPP-RTK method and are postponed UPD;
Step 1.2, the fixedly feasibility of single poor blur level between alternative star is optimized to sequence;
Step 1.3, utilize the satellite hardware of calculating in real time to postpone UPD information and observation data that fixedly sequence of feasibility strengthens base station to each region ground to carry out PPP-RTK blur level and fix, obtain single poor blur level static solution between its star;
Step 1.4, setting reference satellite, according to known ground, strengthen base station coordinate, utilize formula (1) inverse to obtain CA/P1 pseudorange error information that satellite orbit, satellite clock correction, atmospheric refraction are corresponding and L1, L2 phase error information, i.e. the non-poor observed reading residual error Omc of the pseudorange of base station now p1the non-poor observed reading residual error Omc of phase place with the impact of deblurring degree l1and Omc l2, and using it as region ground, strengthen information distributing to user in net;
Omc P1=O P1-ρ-ct+cT+M P1
Omc L1=(O L1+N L1L1-ρ-ct+cT+M L1 (1)
Omc L2=(O L2+N L2L2-ρ-ct+cT+M L2
Wherein, O p1, O l1, O l2be respectively the CA/P1 pseudorange at base station place, the observed reading of the observed reading of L1 phase place, L2 phase place, N l1, N l2for the non-poor blur level of the L1 of base station place, L2 calculating according to PPP-RTK method, λ l1, λ l2for L1, L2 phase observations value wavelength, ρ is survey station inter-satellite geometric distance, and c is the light velocity in vacuum, and t, T are respectively receiver clock correction, satellite clock correction, M p1, M l1, M l2reduction for CA/P1 pseudorange, L1, L2 observed reading;
Step 2, user obtain according to himself approximate coordinates and neighboring area ground strengthens the relative position relation between base station, by the periphery base station region ground enhancing information to obtaining, carry out matching interpolation, calculate user and locate corresponding ground and strengthen information, user is located to carrier phase and Pseudo-range Observations is refined;
Step 3, according to region ground, strengthen the fixing three-step approach of Static Precise Point Positioning user's blur level and resolve fast He Wu ionosphere, Qi Kuan lane combinational fuzzy degree;
Employing by wide lane ambiguity, L1 blur level to without ionosphere combination observation value blur level progressively fixing three-step approach resolve single poor blur level user satellite, specifically comprise the following steps:
CA/P1 Pseudo-range Observations after step 3.1, utilization are refined with the Hou Kuan lane carrier phase observation data of refining form single poor joint observation equation between star, as shown in formula (2), by single poor wide lane ambiguity between LAMBDA algorithm search star and be aided with RATIO check and judge the fixedly validity of result of blur level;
&dtri; O ^ P 1 = &dtri; &rho; - c &dtri; T - &dtri; M P 1 &dtri; O ^ WL = &dtri; &rho; - c &dtri; T - &dtri; M WL &lambda; WL - &dtri; N WL - - - ( 2 )
Wherein, for single poor result between the star of survey station inter-satellite geometric distance, for single poor satellite clock correction between star, for single poor reduction between the star of CA/P1 pseudorange, wide lane phase observations value, λ wLwei Kuan lane phase observations value wavelength;
Step 3.2, the Hou Kuan lane carrier phase observation data of refining with refine after without ionosphere combined carriers phase observations value form single poor joint observation equation between star, as shown in formula (3), calculate without single poor blur level between the corresponding star of ionosphere combination observation value according to formula (4), calculate the floating-point solution of single poor L1 blur level between star
&dtri; O ^ WL = &dtri; &rho; - c &dtri; T - &dtri; M WL &lambda; WL - N WL &dtri; O ^ IF = &dtri; &rho; - c &dtri; T - &dtri; M IF &lambda; IF - &dtri; N IF - - - ( 3 )
&dtri; N L 1 = f L 1 + f L 2 f L 1 &dtri; N IF - f L 2 f L 1 - f L 2 &dtri; N WL - - - ( 4 )
Wherein, for without on duty for the week poor reduction of list of ionosphere combination observation, λ iFfor without ionosphere combinatorial phase observed reading wavelength, f l1, f l2frequency for L1, L2 observed reading;
Utilize single poor wide lane ambiguity between star according to formula (5), calculate the approximate value of single poor L1 blur level between star and the virtual observation equation addition method equation during using it as L1 ambiguity resolution;
&dtri; N ~ L 1 = f L 1 f WL &dtri; N WL + cf L 1 &dtri; O ^ WL + f L 1 f WL &dtri; M WL - c f WL &dtri; O ^ L 1 - f L 1 f WL &dtri; M L 1 c f WL - - - ( 5 )
Wherein, f wLthe frequency of Wei Kuan lane observed reading, for single poor L1 observed reading between the user satellite after refining, for on duty for the week the poor reduction of list of L1 observation;
Step 3.3, by single poor L1 blur level between LAMBDA algorithm search star, and be aided with the fixedly validity of result of RATIO check and formula (6) judgement L1 blur level;
| &dtri; N L 1 - &dtri; N ~ L 1 | < e - - - ( 6 )
The precision that error threshold e strengthens information by observation noise and region ground determines, e=0.5;
Utilize blur level according to formula (7), calculate and obtain without single poor blur level between the corresponding star of ionosphere combination observation value and obtain corresponding blur level static solution positioning result;
&dtri; N IF = f L 1 f L 2 f L 1 2 - f L 2 2 &dtri; N WL + f L 1 f L 1 + f L 2 &dtri; N L 1 - - - ( 7 ) .
2. a kind of region according to claim 1 ground strengthens PPP-RTK blur level list fixing means epoch, it is characterized in that: the implementation method of described step 1.2 is: suppose that certain region ground strengthens the Observable n of a base station place satellite, it is sorted from high to low according to survey station place elevation of satellite, and satellite list is S 1, S 2..., S n-1, S nbecause elevation of satellite is with tiltedly path direction tropospheric delay mapping function is directly related, for any satellites in view, it is single poor to select with immediate another satellite composition of its elevation angle, now between the star of tropospheric delay mapping function, single poor result is minimum, the residual error of zenith tropospheric delay also can be relatively minimum on single poor impact without ionosphere combinational fuzzy degree valuation between this group star, therefore according to following principle, the fixedly feasibility of single poor blur level between alternative star sorted, selected:
1) form the elevation angle difference minimum of two satellites of single poor blur level between star;
2) single poor blur level between alternative star is sorted from big to small according to the average height angle of its corresponding two satellites;
3) from whole alternative blur leveles, choosing single poor blur level between one group of separate star resolves;
According to the fixing feasibility principle of ordering of above blur level, between final alternative star, single poor blur level by fixing feasibility order is from high to low: S 1oS 2, S 2oS 3..., S n-1oS n.
CN201310087988.5A 2013-03-19 2013-03-19 Single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation Expired - Fee Related CN103176188B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310087988.5A CN103176188B (en) 2013-03-19 2013-03-19 Single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310087988.5A CN103176188B (en) 2013-03-19 2013-03-19 Single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation

Publications (2)

Publication Number Publication Date
CN103176188A CN103176188A (en) 2013-06-26
CN103176188B true CN103176188B (en) 2014-09-17

Family

ID=48636172

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310087988.5A Expired - Fee Related CN103176188B (en) 2013-03-19 2013-03-19 Single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation

Country Status (1)

Country Link
CN (1) CN103176188B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105068096A (en) * 2015-07-21 2015-11-18 上海司南卫星导航技术股份有限公司 Non-difference correction distributed processing system based on reference station receiver and method

Families Citing this family (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103344978B (en) * 2013-07-04 2014-11-19 武汉大学 Area enhanced precision positioning service method suitable for large-scale users
CN103558613A (en) * 2013-11-15 2014-02-05 福建纳威导航科技有限责任公司 Real-time precise point positioning method without need of precise clock correction
CN104459745B (en) * 2014-12-25 2017-03-15 东南大学 A kind of many constellation Long baselines network RTK obscure portions degree fast resolution algorithms
CN105807300B (en) * 2016-03-17 2018-09-07 武汉际上导航科技有限公司 A method of carrying out Dynamic High-accuracy One-Point Location with Big Dipper dual-frequency receiver
CN106093991A (en) * 2016-06-21 2016-11-09 武汉大学 A kind of fuzziness quick recovery method for GNSS location and system
CN106371119B (en) * 2016-08-23 2019-01-29 武汉羲和科技有限公司 The whole world GNSS high-precision enhancing localization method based on cloud positioning
CN106646565B (en) * 2016-12-28 2019-05-21 广州市中海达测绘仪器有限公司 Carrier phase differential positioning method and apparatus and single frequency receiving
CN108267763B (en) * 2017-01-03 2021-01-15 华为技术有限公司 Method and device for positioning
CN107390510B (en) * 2017-08-22 2019-08-02 中国科学院国家授时中心 Beidou navigation satellite precise time service unified approach based on carrier phase observable
CN107561568A (en) * 2017-08-22 2018-01-09 中国科学院国家授时中心 The non-combined PPP RTK localization methods of the non-difference of the Big Dipper based on unified model
CN107797126B (en) * 2017-09-26 2021-02-02 东南大学 BDS/GPS broadcast type network RTK algorithm based on star network
CN108008416B (en) * 2017-12-04 2020-01-14 武汉大学 Integral method for estimating tropospheric delay of inclined path
CN108415049B (en) * 2018-04-19 2022-05-06 千寻位置网络有限公司 Method for improving network RTK double-difference wide lane ambiguity fixing accuracy
CN108415050B (en) * 2018-06-04 2020-05-26 北京未来导航科技有限公司 PPP-RTK positioning method based on low-orbit constellation navigation enhancement system
CN109001763B (en) 2018-06-04 2020-06-30 北京未来导航科技有限公司 Navigation enhancement method and system based on low-orbit constellation
CN110907974B (en) * 2018-09-17 2022-03-15 千寻位置网络有限公司 Method and device for quickly fixing PPP ambiguity based on VRS difference
CN111103610B (en) * 2018-10-25 2022-06-28 千寻位置网络有限公司 Real-time relative positioning and precise single-point positioning fusion positioning method and device
CN111381264B (en) * 2018-12-27 2023-08-15 北京六分科技有限公司 Method and platform for fixing long baseline ambiguity in network RTK
CN109612447B (en) * 2018-12-29 2020-12-15 湖南璇玑信息科技有限公司 Construction method of enhanced positioning transformation model of remote sensing image map data, enhanced positioning method and enhanced positioning server
CN111831965B (en) * 2019-04-23 2023-09-12 千寻位置网络有限公司 Integrity monitoring method and device for UPD correction in SSR
CN111190203B (en) * 2020-01-14 2021-10-08 中国科学院测量与地球物理研究所 PPP-RTK positioning method based on non-difference observation model and rank deficiency elimination
CN111638535B (en) * 2020-05-15 2022-02-25 山东科技大学 Hybrid ambiguity fixing method for GNSS real-time precise point positioning
CN112612043A (en) * 2020-12-10 2021-04-06 国网四川省电力公司信息通信公司 High-speed wireless communication and navigation positioning integrated area enhancement system and method
CN112731489A (en) * 2020-12-11 2021-04-30 国网辽宁省电力有限公司朝阳供电公司 High-precision positioning method based on seamless fusion of BDS (brain-based distributed system) satellite-based foundation enhancement system
CN112630811B (en) * 2020-12-12 2023-04-07 湘潭大学 Real-time PPP-RTK combined positioning method
CN116338752B (en) * 2023-01-29 2023-11-07 北京航空航天大学 Precise ambiguity fixing method for carrier phase single-difference time transfer

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101371159A (en) * 2006-01-31 2009-02-18 纳夫科姆技术公司 A method for combined use of a local positioning system, a local RTK system, and a regional, wide- area, or global carrier-phase positioning system
CN101680944A (en) * 2007-05-31 2010-03-24 纳夫科姆技术公司 Partial search carrier-phase integer ambiguity resolution
CN101770033A (en) * 2010-02-08 2010-07-07 东南大学 Fixing method of ambiguity network between CORS and system station
CN102096084A (en) * 2010-12-09 2011-06-15 东南大学 Precise point positioning (PPP) method based on inter-satellite combination difference
CN102353969A (en) * 2011-09-02 2012-02-15 东南大学 Method for estimating phase deviation in precise single-point positioning technology

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7432853B2 (en) * 2003-10-28 2008-10-07 Trimble Navigation Limited Ambiguity estimation of GNSS signals for three or more carriers
US7298319B2 (en) * 2004-04-19 2007-11-20 Magellan Navigation, Inc. Automatic decorrelation and parameter tuning real-time kinematic method and apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101371159A (en) * 2006-01-31 2009-02-18 纳夫科姆技术公司 A method for combined use of a local positioning system, a local RTK system, and a regional, wide- area, or global carrier-phase positioning system
CN101680944A (en) * 2007-05-31 2010-03-24 纳夫科姆技术公司 Partial search carrier-phase integer ambiguity resolution
CN101770033A (en) * 2010-02-08 2010-07-07 东南大学 Fixing method of ambiguity network between CORS and system station
CN102096084A (en) * 2010-12-09 2011-06-15 东南大学 Precise point positioning (PPP) method based on inter-satellite combination difference
CN102353969A (en) * 2011-09-02 2012-02-15 东南大学 Method for estimating phase deviation in precise single-point positioning technology

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
张宝成等.精密单点定位整周模糊度快速固定.《地球物理学报》.2012,第55卷(第7期),2203-2211. *
邹璇等.基于非差观测的网络实时动态定位方法及其在连续运行基准站跨网服务中的应用.《测绘学报》.2011,第40卷(第S1期),1-5. *
郑艳丽等.基于区域增强信息的PPP的快速收敛算法.《大地测量与地球动力学》.2012,第32卷(第4期),111-115. *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105068096A (en) * 2015-07-21 2015-11-18 上海司南卫星导航技术股份有限公司 Non-difference correction distributed processing system based on reference station receiver and method
CN105068096B (en) * 2015-07-21 2017-10-10 上海司南卫星导航技术股份有限公司 Non- poor correction distributed processing system(DPS) and method based on reference station receiver

Also Published As

Publication number Publication date
CN103176188A (en) 2013-06-26

Similar Documents

Publication Publication Date Title
CN103176188B (en) Single-epoch fixing method for enhancing PPP-RTK ambiguity of regional foundation
US11002860B2 (en) GNSS-RTK-based positioning method
CN103344978B (en) Area enhanced precision positioning service method suitable for large-scale users
CN108363084A (en) Utilize the method and apparatus of satellite positioning, satellite navigation receiver, storage medium
CN101609140B (en) Compatible navigation receiver positioning system and positioning method thereof
CN104297773B (en) A kind of high accuracy Big Dipper three frequency SINS deep integrated navigation system
Li et al. Multi-constellation GNSS PPP instantaneous ambiguity resolution with precise atmospheric corrections augmentation
Zhang et al. Investigating GNSS PPP–RTK with external ionospheric constraints
EP3163324B1 (en) Positioning device, positioning method, and program
CN108549095A (en) A kind of region CORS nets non-poor Enhancement Method and system parallel
CN110058282A (en) A kind of PPP high-precision locating method based on double frequency GNSS smart phone
CN104483688A (en) High precision baseline solution method based on Beidou satellite navigation system
CN105738934B (en) The quick fixing means of URTK fuzzinesses of additional atmospheric information dynamic constrained
Li et al. Review of PPP–RTK: Achievements, challenges, and opportunities
Liu et al. Comparison of convergence time and positioning accuracy among BDS, GPS and BDS/GPS precise point positioning with ambiguity resolution
CN103529461A (en) Receiver quick positioning method based on strong tracking filtering and Hermite interpolation method
CN104316943A (en) Pseudo distance and Doppler combination differential positioning system and pseudo distance and Doppler combination differential positioning method
Wei et al. VRS virtual observations generation algorithm
JIANG et al. A New Kind of Real‐Time PPP Method for GPS Single‐Frequency Receiver Using CORS Network
Tolman et al. Absolute precise kinematic positioning with GPS and GLONASS
Yuan et al. The ionospheric eclipse factor method (IEFM) and its application to determining the ionospheric delay for GPS
CN103543454A (en) Satellite orbit determination system inserted in mobile communication network
Basile et al. Analysis on the potential performance of GPS and Galileo Precise Point Positioning using simulated Real-Time Products
CN104309817B (en) Beidou navigation satellite region orbit determination method based on multiple stage location receiver
CN116755126B (en) Beidou real-time accurate positioning method based on three-dimensional model mapping matching

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20140917

Termination date: 20160319

CF01 Termination of patent right due to non-payment of annual fee