Barycentric Interpolation Approach in Outdoor Cellular Positioning Based on Received Signal Strength
Atefnia, Seyed Mohsen (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024053018577
https://urn.fi/URN:NBN:fi:amk-2024053018577
Tiivistelmä
This thesis investigates the use of the Barycentric Interpolation (BCS) computational method for outdoor positioning using cellular networks based on received signal strength (RSS) as an alternative to Global Navigation Satellite Systems (GNSS). GNSS often faces challenges in urban environments due to signal attenuation, multipath effects, and susceptibility to jamming. The study develops a positioning algorithm using the Barycentric Interpolation (BCS) method and employs data from cellular networks to assess its viability in Helsinki's urban setting. This algorithm utilizes positional data from scanned 2G cellular antennas obtained by a GSM-enabled device, along with corresponding RSS levels used as weights, to determine and evaluate the geographical coordinates of the user equipment (UE).
This algorithm does not rely on satellite signals, private data of cellular network infrastructure, internet connection, or specific antenna configurations, making it suitable for areas where GNSS is unreliable or vulnerable to jamming. While BCS does not surpass GNSS in accuracy, it offers significant benefits by utilizing public data from land-based cellular networks and functioning independently of internet connections and network operator support. This highlights its potential as a complementary or alternative positioning method in urban scenarios.
This work enhances the understanding of BCS applications in challenging environments. It also sets the stage for further advancements in integrating cellular signal data with interpolation methods to improve urban and autonomous navigation technologies without relying solely on the infrastructure of a specific network operator, leveraging the network infrastructure capacity of all available operators.
This algorithm does not rely on satellite signals, private data of cellular network infrastructure, internet connection, or specific antenna configurations, making it suitable for areas where GNSS is unreliable or vulnerable to jamming. While BCS does not surpass GNSS in accuracy, it offers significant benefits by utilizing public data from land-based cellular networks and functioning independently of internet connections and network operator support. This highlights its potential as a complementary or alternative positioning method in urban scenarios.
This work enhances the understanding of BCS applications in challenging environments. It also sets the stage for further advancements in integrating cellular signal data with interpolation methods to improve urban and autonomous navigation technologies without relying solely on the infrastructure of a specific network operator, leveraging the network infrastructure capacity of all available operators.