| Summary: | With the development of wireless communication technology and Internet of
Things, the demand for location-based services is increasing. Location-based
service has been used in warehouse for asset localization, intelligent city construction,
fire and earthquake disaster area emergency personnel positioning and
so on. However, due to the occlusion of buildings and other reasons, GPS
signals cannot achieve high-precision positioning, especially in indoor environment.
Therefore high-precision positioning system and positioning scheme have
become a research hotspot in the field of location services.
The fifth generation (5G) wireless network allows not only for a tremendous
increase in capacity for communication but also opens new opportunities for
high accuracy positioning of user equipment. Reference Signal Received Power
(RSRP) measurements are one of the supported positioning methods for 5G Orthogonal
Frequency Division Multiplexing (OFDM) system.
In this dissertation, a RSRP-based positioning method will be investigated and
developed. The designed positioning method is based on fingerprint which uses
a database-based mapping solution and build up a signal propagation model
to characterize the relations between transmission distance and received signal
strength.
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