hniques
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1 (30-60 min)
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ub-metre
n (5-15 min)
receivers
s < 15 km
ing
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4 SVs
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several m
in real-time
ng
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s < 50 km
4 SVs
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format, i.e.
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achieved in
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t Guard has
correction
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't of the US
dco. Future
plans are to expand the service to the entire US
coastline (Alsip,1993). The Canadian Coast Guard
is also in the process of deploying a similar service
in Canada.
To achieve cm-level accuracies in real-time, the
requirements for data transmission may exceed
2000 bps since the raw carrier phase data must be
transmitted. As with post-mission processing, the
algorithms are more complex than for code
differential processing and thus the development
of real-time, cm-level accuracy systems has lagged
code differential systems. However, recently
systems have been developed which show the
feasibility of using real-time kinematic systems
for high precision surveys (e.g. Frodge et al., 1994).
4. LAND-BASED APPLICATIONS
41 Sub-Metre Positioning in Static Mode
Many GIS applications traditionally required a
few metre accuracy for georeferencing static points
occupied during a survey. The current emphasis is
on sub-metre accuracy which can place particular
constraints on the type of GPS receiver technology
that must be used as well on the time required to
occupy a point. Generally, the GIS community uses
standard C/A code technology which delivers 1-3
m accuracy. In order to improve the accuracy below
a metre with these receivers, the carrier phase
observable must be used and the point occupied for
a longer period of time in order to acquire sufficient
satellite geometry.
A study to determine the time required to reach
the sub-metre level, a test was conducted with the
Motorola LGT10007M, a GPS/GIS terminal which
can track six satellites simultaneously and can also
output the carrier phase measurement. Data was
collected on baselines of 500 m and 10 km. About 2
hours of data were recorded for each baseline, and
post-processed using The University of Calgary's
SEMIKIN™ program (Cannon,1990). The data was
processed in subsets and the resulting coordinates
were compared to the known baseline coordinates
in order to determine the achievable accuracy.
Figure 3 shows the relationship between site
occupation time and 3-D accuracy for the 100 m
baseline. Figure 4 shows the same for the 10 km
baseline.
The two figures clearly show that the achievable
accuracy improves as a function of the site
Occupation time. Although the results are slightly
different for the two baselines due to the increased
errors on the 10 km line, they both show that
within 5 minutes of data acquisition, the sub-metre
level can be met.
See Cannon et al. (1993) for further details on the
above test.
70
3-D Error (cm)
es)
S
À
0 Li i T
1:52
th Lori TI
3/54. 5.6.7 8 9 10
Occupation Time (min)
Fig. 3: Position Accuracy as a Function of Station
Occupation Time - 500 m Baseline
70
60 -
50 -
40 -
30 -
3-D Error (cm)
20 -
10 4
a 4°°5 60 172,8. 9,10
Occupation Time (min)
Fig. 4: Position Accuracy as a Function of Station
Occupation Time - 10 km Baseline
4.2 Use of GPS in an Urban Environment
One of the major limitations of using GPS for GIS
applications is the shading problem that is
experienced under foliage and near buildings.
Although it is an important concern for static
applications, it is magnified for kinematic
applications when a continuous trajectory is
usually required. The susceptibility of GPS to
shading is partially a function of the receiver that
is used. For example, it is expected that a 12
channel receiver will generally be less susceptible
167