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Influence of Noise-Limited Censored Path Loss on Model Fitting and Path Loss-Based Positioning.
Aki Karttunen1, Mikko Valkama1, Jukka Talvitie1
1Faculty of Information Technology and Communication Sciences, Tampere University, 33014 Tampere, Finland.
Sensors (Basel, Switzerland)
|February 5, 2021
Summary
This study introduces a novel method to improve positioning accuracy in future radio systems by utilizing censored path loss data. The approach enhances robustness and accuracy in wireless positioning technologies.
Area of Science:
- Wireless communication
- Signal processing
- Localization technologies
Background:
- Positioning is crucial for future wireless systems.
- Path loss (PL) based positioning is widely adopted due to available measurements.
- Traditional PL positioning methods neglect censored data, limiting accuracy.
Purpose of the Study:
- To propose and examine methods for incorporating censored path loss data into PL model-based positioning.
- To improve positioning accuracy and robustness in wireless systems.
Main Methods:
- Developed a method to utilize censored path loss data in both PL model fitting and positioning phases.
- Simulations were conducted to evaluate the proposed approach.
Main Results:
- The proposed approach demonstrated significant improvements in positioning accuracy, ranging from 23% to 57%.
- Enhanced robustness against path loss model fitting errors was observed.
Conclusions:
- Utilizing censored path loss data offers a promising avenue for advancing wireless positioning accuracy.
- The proposed method provides a more robust and accurate solution for future radio systems.
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