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This is a Quantitative Study study.

October 17, 2025SensorsOpen Access

DL-AoD Estimation-Based 5G Positioning Using Directionally Transmitted Synchronization Signals

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Authors

IMIvo MüürseppTallinn University of Technology MAMuhammad Mahtab AlamTallinn University of Technology

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Implication

This method finds user equipment location in industrial environments using DL-AoD and synchronization signals, suggesting improved accuracy and practicality.

Key Points

Experimental DL-AoD estimation error remained below 4° for 90% of measurements, showing enhanced accuracy.
Positioning errors reported in the literature range from 3.8 m to 140 m, with a 13.2 m error achieved here.
Applied machine learning helps adapt to environmental conditions without detailed knowledge of antenna beam patterns.
Standard 5G signals provide accurate localization for industrial IoT, indicating cost-effective potential.

Cite This Study

Müürsepp et al. (2025) studied this question.

synapsesocial.com/papers/68f19f20de32064e504ddc57 https://doi.org/10.3390/s25206372

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Implication

This method finds user equipment location in industrial environments using DL-AoD and synchronization signals, suggesting improved accuracy and practicality.

DL-AoD Estimation-Based 5G Positioning Using Directionally Transmitted Synchronization Signals

Discussion

Member takes

Implication

Key Points

Cite This Study

DL-AoD Estimation-Based 5G Positioning Using Directionally Transmitted Synchronization Signals

Discussion

Member takes

Implication

Key Points

Cite This Study

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