| 摘要(英) |
As the rapid development in wireless technology, Location-Based Service (LBS) is
widely used in the various areas; civil navigation, public safety, and military. It provides
many mobile services; neighbor information searching, pedestrian navigation, personal
security, personnel and fleet management, location status of friends, and regional advertising.
Navigation is one of the most common applications. However, any kind of LBS is relying on
to identify the user’s location.
When developing the indoor or outdoor positioning algorithm, the accuracy is the
primary concern. Several useful positioning algorithms have been published for performing
LBS. In open sky environments, Global Navigation Satellite System (GNSS) is the
well-known navigation system. GNSS is the generic name given to the satellite-based
navigation systems including global positioning system (GPS), global navigation satellite
system (GLONASS), and Galileo.
When using GPS without extra assistance, such as A-GPS or indoor GPS beacon, there
are some existing drawbacks; for example, the precision will be degraded in the
Non-Line-of-Sight (NLoS) environment such as dense metropolis, and the location will not be
able to perform in the weak signal environment such as indoor. In order to solve the problem
and improve the positioning accuracy, the mobile devices use Bluetooth to exchange GPS iv
position information (such as: latitude and longitude) and use signal strength of Bluetooth to
estimate the distance between the group members.
This thesis proposes using GPS with auxiliary Bluetooth signal strength to improve the
accuracy of position to provide relative permutation between the group members. We propose
a group positioning algorithm to obtain the relative permutated location, which is particularly
used for application such as a bicycle team, climber team and so on.
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