can be determined by solving for the position
unknowns (X,Y,Z) and the receiver clock error
(dt). It has to be stressed that all parameters of
equation 1 are double differenced as explained
in the previous chapter.
p=8(XYZyrodird, +e (1)
The remaining formula descriptors are p which
is the double differenced pseudorange
observation, c the constant speed of light, d,
the remaining atmospheric signal delay after
double differencing and € which is the
observation noise. s which implicitly contains
the moving station coordinates, is the double
difference range which describes the double
differenced distance between the satellite-
receiver combination. The noise of the
pseudorange observations is the critical part in
real-time mapping applications. The
measurement accuracy which can be achieved
with double-differenced C/A-Code observations
is conventionally in the range of 3-5 m, resulting
in a positioning accuracy of 5-10 m. Figure 2a
shows the position differences of the projection
center coordinates determined with GPS
pseudorange observations and conventional
aerial triangulation. From this figure it can be
seen, that the positioning accuracy with C/A-
Code pseudoranges is sufficient only for small
scale mapping (« 1:50000). Recent
developments to minimize the measurement
noise, with narrow correlation techniques might
improve the situation considerably. Observation
accuracies for C/A-Code observations in the
range of 5-30 centimeters have been reported by
LACHAPELLE ET AL. [1992], resulting in
positioning accuracies of a few decimeters. As
soon as this technology is routinely available the
simple data handling and data processing makes
this observation type highly interesting for small
and medium scale real-time mapping.
The stringent accuracy requirements for large
scale mapping makes the use of carrier phase
observations necessary. In the case of carrier
phase observations the incoming sine wave is
measured against a reference wave which is
generated by the GPS receiver. The problem
with this measurement principle, is that the
186
correlation of the two signals is ambiguous, and
only the fraction of the wavelength, by which
the incoming signal is shifted, can be measured.
Once the receiver locks onto the signal, the
cycle counts are updated and a range difference
With respect to the initial epoch can be
measured. Equation 2 shows the observation
equation for the carrier phase observation (À
beeing the wavelength of the carrier phase
observations).
p = s (X,Y,Z)+cdt+d mo AN+e (2)
If the initial ambiguity N can be successfully
determined the inherent measurement accuracy
(<2 mm) of the phase observations is sufficient
for all map and image scales, resulting in a sub-
decimeter position accuracy. Hence, especially
for large scale mapping the initial ambiguity N
has to be determined to exploit the high
positioning accuracy with carrier phase
observations. Further, it has to be kept in mind
that the ambiguity has to be reinitialized as soon
as the receiver does not update the cycle count
correctly (cycle slips) or if the receiver can not
track the satellite signal continuously (loss of
lock e.g. due to signal obstructions). The need to
determine the initial ambiguity complicates the
use of carrier phase observations for real-time
applications extremely. In principle, the initial
ambiguities can be estimated and fixed at the
beginning of a continuous sequence of
observations in a static initialization, but due to
banking angles in flight turns and the highly
kinematic environment, losses of phase lock and
cycle slips are frequent in airborne, real-time
mapping applications. Hence, in most cases
there is a need to re-initialize the ambiguities
while the aircraft is moving. In recent
publications several authors proposed methods
for a real-time initialization of the ambiguities
("ambiguity resolution on the fly"), based on
statistical searching algorithms (e.g. HATCH
[1990], FREI/BEUTLER [1990], SCHADE [1992]).
The mentioned algorithms share some basic
principles to distinguish between the correct
cycle ambiguities and the incorrect ones.
Usually, a n adjusted pseudorange position and
its associated covariance information is used as
a searching cube in which the potential solution
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