Using Multiple GNSS Constellations with Strict Quality Constraints for More Accurate Positioning in Urban Environments
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Author(s)
Combined multi-global navigation satellite system
(GNSS) signals are capable of improving satellite availability for both
standalone and differential positioning. Currently, the potential for
highaccuracy automobile navigation using GNSS is constrained by severe
multipath and poor satellite geometry, especially in “urban canyons” in
large cities. With differential GNSS (D-GNSS) positioning, inconvenient
system time differences can be removed by reference-station processing,
allowing a user’s receiver position to be accurately calculated using
four or more visible satellite signals. Therefore, in the future, we can
filter numerous multi-GNSS measurements based on their quality in order
to enhance the positioning performance in urban environments. In this
paper, we present several methods that use multi-GNSS to filter signals
from satellites containing severe multipath errors. In addition, we
select single-frequency code-based D-GNSS because it has significant
potential due to its low cost and robustness. The first method uses the
measured carrier-to-noise ratio (C/N0). When only reflected signals are received in dense urban areas, the C/N0
will decrease by more than 6 dB-Hz, with the exception of
high-elevation satellites. Thus, by comparing the measured and expected
C/N0 at various elevation angles, we may be able to detect
the presence of severe multipath signals. The second method involves
using the error residual from the Receiver Autonomous Integrity
Monitoring (RAIM), which is a well-known technique for checking the
quality of measurements. Signals having severe multipath effects result
in significant deterioration of measurements. In addition to the above
methods, we introduce several points that should be noted in order to
improve D-GNSS. To evaluate our proposed method, we perform positioning
tests using a car in an urban environment. Differential positioning was
used for multi-GNSS with GPS, QZSS, BeiDou, and GLONASS. We present an
evaluation of each technique that is used to mitigate multipath errors.
The results show that our proposed techniques effectively improved the
horizontal accuracy. In addition, the accuracy of the horizontal errors
was improved by more than 50% in two different environments.
Cite this paper
Tokura, H. , Yamada, H. , Kubo, N. and Pullen, S.
(2014) Using Multiple GNSS Constellations with Strict Quality
Constraints for More Accurate Positioning in Urban Environments. Positioning, 5, 85-96. doi: 10.4236/pos.2014.54011.
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