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PPP Fundamentals

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FundamentalsFundamentals
Title PPP Fundamentals
Author(s) GMV
Level Basic
Year of Publication 2011
Logo GMV.png


Precise point positioning (PPP) is a global precise positioning service using current and coming GNSS constellations. PPP requires the availability of precise reference satellite orbit and clock products in real-time using a network of GNSS reference stations distributed worldwide. Combining the precise satellite positions and clocks with a dual-frequency GNSS receiver (to remove the first order effect of the ionosphere), PPP is able to provide position solutions at centimetre to decimetre level[1].

PPP Algorithm

The PPP algorithm uses as input code and phase observations from a dual-frequency receiver, and precise satellite orbits and clocks, in order to calculate precise receiver coordinates and clock. The dual frequency observables are used undifferenced, and combined into the so-called ionosphere-free combination. The highlights of the algorithm are described next. At a given epoch, and for a given satellite, the simplified observation equations are presented next:

l_P=ρ+c(b_Rx-b_Sat )+Tr+ε_P (1) l_∅=ρ+c(b_Rx-b_Sat )+Tr+〖Nλ+ε〗_∅ (2)

Where: lP is the ionosphere-free combination of L1 and L2 pseudoranges l is the ionosphere-free combination of L1 and L2 carrier phases bRx is the receiver clock offset from the reference (GPS) time bSat is the satellite clock offset from the reference (GPS) time c is the vacuum speed of light Tr is the signal path delay due to the troposphere  is the carrier combination wavelength N is the ambiguity of the carrier-phase ionosphere-free combination (it is not an integer number) P and  are the measurement noise components, including multipath and other effects  is the geometrical range between the satellite and the receiver, computed as a function of the satellite (xSat, ySat, zSat) and receiver (xRx, yRx, zRx) coordinates as:

ρ=√(〖(x_Sat-x_Rx)〗^2+〖(y_Sat-y_Rx)〗^2+〖(z_Sat-z_Rx)〗^2 ) (3)

The observations coming from all the satellites are processed together in a filter that solves for the different unknowns, namely the receiver coordinates, the receiver clock, the zenith tropospheric delay and the phase ambiguities.



Notes


References

  1. ^ M.D. Laínez Samper et al, Multisystem real time precise-point-positioning, Coordinates, Volume VII, Issue 2, February 2011