PPP-RTK method and system for GNSS signal based position determination

• US 10,082,578 B2
• Filed: 10/25/2013
• Issued: 09/25/2018
• Est. Priority Date: 10/25/2012
• Status: Active Grant

• Current Assignee: Fugro N.V.
• Original Assignee: Fugro N.V.
• Inventors: De Jong, Cornelis Dick
• Primary Examiner(s): Gregory, Bernarr E
• Application Number:
  US14/438,210
• Publication Number:
  US 20150293233A1
• Time in Patent Office: 1,796 Days
• CPC Class Codes: G01S 19/04 providing carrier phase data
• CPC Class Codes: G01S 19/072 Ionosphere corrections
• CPC Class Codes: G01S 19/43 using carrier phase measurements, e.g. kinematic positioning; using long or short baseline interferometry

Abstract

GNS signal correction system and method for calculating GNSS corrections, and complementary mobile and mobile position determination method based on these GNSS corrections. The methods employ satellite-single-differenced mixed code-and-phase system hardware delays in modelling carrier phase system observables. These system hardware delays are dynamically estimated by the signal correction system using a dynamic system state model. The estimated system hardware delays are transmitted to the mobile, which applies these delays to a dynamic mobile state model, in order to improve the accuracy and/or convergence time of mobile position estimations.

Claims

1. A method for calculating global navigation satellite system (GNSS) corrections for transmission to a mobile, using a global navigation satellite (GNS) signal correction system comprising a reference station and a system signal transmitter, the method comprising:

acquiring at the reference station GNSS data comprising pseudo range system observations and carrier phase system observations from a plurality of GNSS satellites transmitted over multiple epochs;

applying the GNSS data received from the reference station to a dynamic system state model having the pseudo range system observations and carrier phase system observations as measurements;

dynamically estimating satellite-single-differenced floating value mixed code-and-phase system hardware delays for distinct carrier phase observations via the dynamic system state model; and

transmitting the mixed code-and-phase system hardware delays to the mobile in real time via the system signal transmitter to improve at least one of an accuracy and a convergence time for estimating a mobile earth position.

2. The method according to claim 1, wherein the dynamic system state model is defined by:

p_i,r^s(t)=R_r^s(t)+T_r^s(t)+b_pi,r(t)+d_pi,p1,r^s,ref(t)+γ

_iI_r^s,ref(t)

ϕ

_i,r^s(t)=R_r^s(t)+T_r^s(t)+b<sub>ϕ

i,r</sub>^ref(t)+d<sub>ϕ

i,p1,r</sub>^s,ref(t)−

γ

_iI_r^s,ref(t)

wherein;

s is a satellite index;

r is a reference station index;

i is a carrier frequency index;

p_i,r^s(t) are the pseudo range system observations;

ϕ

_i,r^s(t) are the carrier phase system observations;

R_r^s(t) are distances ∥

R_r(t)−

R^s(t)∥

between a known reference station position and a GNSS satellite position;

T_r^s(t) are system tropospheric delays;

b_pi,r^ref(t) and b<sub>ϕ

i,r</sub>^ref(t) are code system clock biases and phase system clock biases, respectively;

d_pi,p1,r^s,ref(t) are satellite-single-differenced floating value code-code system hardware delays;

d<sub>ϕ

i,p1,r</sub>^s,ref(t) are the satellite-single-differenced mixed code-and-phase system hardware delays;

I_r^s,ref(t) are satellite-single-differenced system ionospheric corrections, and

γ

_i=λ

_i²/λ

₁², with λ

_i a carrier wavelength for a corresponding carrier frequency (f_i).

3. The method according to claim 1, wherein the mixed code-and-phase system hardware delays are defined by:

4. The method according to claim 1, wherein the GNS signal correction system comprises an additional reference station, and wherein the method further comprises:

dynamically estimating satellite-single-differenced mixed code-and-phase system hardware delays for the reference station and the additional reference station;

assuming satellites-and-stations-double-differenced hardware delays to have an integer value, according to;

d<sub>ϕ

i,p1,b</sub>^s,ref(t)−

d<sub>ϕ

i,p1,a</sub>^s,ref(t)=λ

_iN_i,a,b^s,ref;

N_i,a,b^s,ref∈

N

wherein

N_i,a,b^s,ref are the satellites-and-stations-double-differenced hardware delays;

dynamically fixing the satellites-and-stations-double-differenced hardware delays to an integer value; and

transmitting the resulting single set of mixed code-and-phase system hardware delays to the mobile in real time via the system signal transmitter.

5. A method of claim 1, further comprising:

acquiring at an additional reference station further GNSS data;

applying the further GNSS data received from the additional reference station to the dynamic system state model;

dynamically estimating further satellite-single-differenced floating value mixed code-and-phase system hardware delays for the distinct carrier phase observations via the dynamic system state model; and

transmitting, from the additional reference station, the further mixed code-and-phase system hardware delays to the mobile in real time as a separate set of correction data.

6. The method according to claim 5, further comprising applying a weighting to the separate sets of correction data at the mobile based at least in part on a distance between the mobile and the reference station and the additional reference station.

7. The method according to claim 5, wherein the reference station acquires GNSS data from a first set of satellites and the additional reference station acquires GNSS data from a second set of satellites at least partially different from the first set.

8. The method according to claim 1, further comprising:

dynamically estimating system ionospheric corrections simultaneously with the mixed code-and-phase system hardware delays, and

transmitting the system ionospheric corrections to the mobile via the system signal transmitter.

9. The method according to claim 8, wherein the system ionospheric corrections are defined by:

I_r^s,ref(t)=I_r^s(t)−

I_r^ref(t)+d_p1,r^s,ref(t)

wherein I_r^s(t)−

I_r^ref(t) are satellite-single-differenced ionospheric corrections, and d_p1,r^s,ref are satellite-single-differenced code system hardware delays.

10. A method for determining a mobile earth position, comprising:

providing the mobile comprising a mobile GNSS receiver at the mobile earth position;

acquiring GNSS data comprising pseudo range mobile observations and carrier phase mobile observations from a plurality of GNSS satellites transmitted over multiple epochs;

receiving GNSS corrections from a GNS signal correction system in real time, the GNSS corrections comprising satellite-single-differenced mixed code-and-phase system hardware delays;

applying the mixed code-and-phase system hardware delays to a dynamic mobile state model having the pseudo range mobile observations and carrier phase mobile observations as measurements, to improve at least one of an accuracy and a convergence time for estimating the mobile earth position, and

dynamically estimating the mobile earth position via the dynamic mobile state model.

11. The method according to claim 10, wherein the dynamic mobile state model is defined by:

p_i,m^s(t)=R_m^s(t)+T_m^s(t)+b_pi,m(t)+d_pi,p1,m^s,ref(t)+γ

_iI_m^s,ref(t)

ϕ

_i,m^s(t)−

d<sub>ϕ

i,p1,r</sub>^s,ref=R_m^s(t)+T_m^s(t)+b<sub>ϕ

i,m</sub>^ref(t)+d<sub>ϕ

i,p1,m</sub>^s,ref(t)−

d<sub>ϕ

i,p1,r</sub>^s,ref(t)−

γ

_iI_m^s,ref(t)

wherein;

s is a satellite index;

m is a mobile index;

i is a carrier frequency index;

p_i,m^s(t) are the pseudo range mobile observations;

ϕ

_i,m^s(t) are the carrier phase mobile observations;

R_m^s(t) are distances ∥

R_m(t)−

R^s(t)∥

between the mobile earth position and a GNSS satellite position;

T_m^s(t) are mobile tropospheric delays;

b_pi,m^ref(t) and b<sub>ϕ

i,m</sub>^ref(t) are code mobile clock biases and phase mobile clock biases respectively;

d_pi,p1,m^s,ref(t) are satellite-single-differenced floating value code-code mobile hardware delays;

d<sub>ϕ

i,p1,m</sub>^s,ref(t) are the satellite-single-differenced mixed code-and-phase mobile hardware delays (dm);

d<sub>ϕ

i,p1,r</sub>^s,ref(t) are the received satellite-single-differenced mixed code-and-phase system hardware delays;

I_m^s,ref(t) are satellite-single-differenced mobile ionospheric corrections, and

γ

_i=λ

_i²/λ

₁², with λ

_i a carrier wavelength for the corresponding carrier frequency (f_i).

12. The method according to claim 10, further comprising:

assuming satellites-and-system-mobile double-differenced hardware delays to have an integer value, according to;

d<sub>ϕ

i,p1,m</sub>^s,ref(t)−

d<sub>ϕ

i,p1,r</sub>^s,ref(t)=λ

_iN_i,m,r^s,ref;

N_i,m,r^s,ref∈

N;

wherein

N_i,m,r^s,ref are the satellites-and-system-mobile-double-differenced hardware delays; and

dynamically fixing the satellites-and-system-mobile-double-differenced hardware delays to an integer value.

13. The method according to claim 12, wherein, after dynamically fixing the satellites-and-system-mobile-double-differenced hardware delays to an integer value, the carrier phase mobile observations in the dynamic mobile state model are defined by:

ϕ

_i,m^s(t)−

d<sub>ϕ

i,p1,r</sub>^s,ref(t)−

λ

_iN_i,m,r^s,ref=R_m^s(t)+T_m^s(t)+b<sub>ϕ

i,m</sub>^ref(t)−

γ

_iI_m^s,ref(t).

14. The method according to claim 10, further comprising:

receiving from the GNS signal correction system, ionospheric corrections;

obtaining weighted system ionospheric corrections, based on a calculated distance between the mobile earth position and a station earth position, and

applying the weighted system ionospheric corrections to the dynamic mobile state model to improve the accuracy or convergence time of dynamic estimation of the mobile earth position or both.

15. A global navigation satellite (GNS) signal correction system for estimating and transmitting global navigation satellite system (GNSS) corrections to a mobile, the GNS signal correction system comprising:

a reference station comprising;

a system GNSS receiver configured to acquire GNSS data comprising pseudo range system observations and carrier phase system observations from a plurality of GNSS satellites transmitted over multiple epochs;

a system control center, configured to receive the GNSS data from the reference station in real time, and comprising;

a system processor unit configured to apply the GNSS data to a dynamic system state model having the pseudo range system observations and carrier phase system observations as measurements; and

a system signal transmitter configured to transmit signals to the mobile;

wherein the system processor unit is configured to dynamically estimate the GNSS corrections comprising satellite-single-differenced mixed code-and-phase system hardware delays for distinct carrier phase observations and carrier frequencies,

and the system control center is configured to transmit the mixed code-and-phase hardware delays in real time.

16. The GNS signal correction system according to claim 15, further comprising an additional reference station, wherein the system control center is configured to:

dynamically estimate the satellite-single-differenced mixed code-and-phase system hardware delays for the reference station and the additional reference station, and

dynamically fix satellites-and-stations-double-differenced hardware delays to an integer value.

17. The GNS signal correction system according to claim 15, further comprising an additional reference station configured to:

acquire further GNSS data;

apply the further GNSS data to the dynamic system state model;

dynamically estimate further satellite-single-differenced floating value mixed code-and-phase system hardware delays for the distinct carrier phase observations via the dynamic system state model; and

transmit the further mixed code-and-phase system hardware delays to the mobile in real time as a separate set of correction data.

18. The GNS signal correction system according to claim 15, wherein the system control center is configured to:

dynamically estimate system ionospheric corrections, and

transmit the system ionospheric corrections to the mobile via the system signal transmitter.

19. A mobile, comprising:

a mobile GNSS receiver configured to acquire GNSS data comprising pseudo range mobile observations and carrier phase mobile observations from a plurality of GNSS satellites transmitted over multiple epochs;

a mobile signal receiver configured to receive GNSS corrections from a system control center, wherein the GNSS corrections comprise satellite-single-differenced mixed code-and-phase system hardware delays; and

,

a mobile processing unit configured to apply the mixed code-and-phase system hardware delays to a dynamic mobile state model having the pseudo range mobile observations and carrier phase mobile observations as measurements to improve at least one of an accuracy and a convergence time for estimating a mobile earth position, and for deriving a mobile earth position.

20. The mobile according to claim 19, arranged to receive the system ionospheric corrections from the GNS signal correction system, wherein the mobile processing unit is configured to weight the system ionospheric corrections based on a calculated distance between the reference station earth position and the mobile earth position, and to apply weighted ionospheric corrections to the dynamic mobile state model, so as to improve an accuracy or a convergence time for dynamic estimation of the mobile earth position or both.

21. The mobile according to claim 19, further comprising a user interface configured to adjust at least one mobile covariance matrix value of the dynamic mobile state model, so as to improve a dynamic estimation accuracy of a vertical component of the mobile earth position.

22. At least one non-transitory computer readable medium storing instructions, which when executed by one or more processors, causes the one or more processors to:

receive GNSS data comprising pseudo range system observations and carrier phase system observations acquired by a reference station from a plurality of GNSS satellites transmitted over multiple epochs;

apply the pseudo range system observations and carrier phase system observations to a dynamic system state model having the pseudo range system observations and carrier phase system observations as measurements;

dynamically estimate satellite-single-differenced floating value mixed code-and-phase system hardware delays for distinct carrier phase observations via the dynamic system state model, and

store the mixed code-and-phase system hardware delays for transmission to a mobile in real time via a system signal transmitter, to enable a mobile processing unit of the mobile to apply the mixed code-and-phase system hardware delays to the dynamic mobile state model, to improve at least one of an accuracy and a convergence time for estimating a mobile earth position.

23. At least one non-transitory computer readable medium storing instructions which when executed by a processor, cause the processor to:

receive GNSS data comprising pseudo range mobile observations and carrier phase mobile observations acquired by a mobile receiver from a plurality of GNSS satellites transmitted over multiple epochs;

apply the pseudo range mobile observations and carrier phase mobile observations to a dynamic system state model having the pseudo range system observations and carrier phase system observations as measurements;

apply GNSS corrections comprising satellite-single-differenced mixed code-and-phase system hardware delays received from a GNS signal correction system to the dynamic mobile state model, to improve at least one of an accuracy and a convergence time for estimating a mobile earth position, and

dynamically estimate a mobile earth position using the dynamic mobile state model.