Indoors Smartphone Positioning Enhancement Using Wi-Fi and Magnetometer
Recent embedded technologies on today’s smartphone make the smartphones more comfortable to run a large number of applications which are used for people’s daily activities. Among all these applications, the location-based services (LBS) are frequently used. The LBS applications utilized location inf...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Erbil Polytechnic University
2023-09-01
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| Series: | Polytechnic Journal |
| Subjects: | |
| Online Access: | https://polytechnic-journal.epu.edu.iq/home/vol13/iss1/13 |
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| Summary: | Recent embedded technologies on today’s smartphone make the smartphones more comfortable to run a
large number of applications which are used for people’s daily activities. Among all these applications, the
location-based services (LBS) are frequently used. The LBS applications utilized location information via
Smartphones technologies. For example, when outdoors, Global Navigation System (GPS) or generally
Global navigation satellite system (GNSS) signals are used to retrieve the location information within
enough positioning accuracy. However, when smartphone holders are entering to the urbane area or
indoors, the performance of GPS service will be degraded or sometime cannot retrieve location
information due to blocking the GPS signals through the roofs or walls of the buildings. Beside this, many
onboard smartphones wireless chipsets or sensors’ readings can be used as alternate technologies to
provide location information including Wi-Fi, Bluetooth, cellular, and inertial sensors. However, these
technologies during positioning process will faced its own limitations such as: none-line-of-sight signals,
multipath signals, and sensor drift or accumulated error. For these reasons, it is very difficult to provide a
good positioning accuracy, when only a single technology is utilized alone. Therefore, this study proposes
a new positioning solution based on hybridize two different technologies measurements including
received signal strength (RSS) of the Wi-Fi access points and onboard smartphone magnetometer
readings within fingerprinting positioning technique. The hybridization of these technologies is based on
taking their advantaged and mitigating their drawbacks. In addition to that, this study also provided an
improved version of matching algorithm of the fingerprinting technique by applying the concept of
boosting-dataset records. A set of real trial experiments are conducted to prove the validity of the
proposed solution. The obtained results of the experiments show that the proposed positioning solution
can provide an enough positioning accuracy, up to 0.13 meter. |
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| ISSN: | 2707-7799 |