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Evaluation of 5G Positioning Performance Based on UTDoA, AoA and Base-Station Selective Exclusion
Alda Xhafa1, José A Del Peral-Rosado2, José A López-Salcedo1
1IEEC-CERES, Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Barcelona, Spain.
Sensors (Basel, Switzerland)
|January 11, 2022
Summary
This study enhances cellular positioning accuracy in challenging urban areas by combining Uplink Time Difference of Arrival (UTDoA) and Angle of Arrival (AoA) measurements. This method improves location precision, even in environments with signal obstructions.
Area of Science:
- Electrical Engineering
- Wireless Communications
- Signal Processing
Background:
- Accurate positioning is crucial for applications like emergency services and autonomous vehicles.
- Global Navigation Satellite System (GNSS) struggles in urban canyons due to signal obstruction.
- Cellular positioning offers a promising alternative in GNSS-denied environments.
Purpose of the Study:
- To improve cellular positioning accuracy in challenging urban environments.
- To leverage advanced antenna technologies for enhanced location services.
- To address limitations caused by multipath and Non-Line of Sight (NLoS) conditions.
Main Methods:
- Jointly utilizing Uplink Time Difference of Arrival (UTDoA) and Angle of Arrival (AoA) with antenna arrays.
- Exploiting angular and time domains of the radio propagation channel.
- Implementing a base-station selective exclusion method to filter Non-Line of Sight (NLoS) measurements.
- Simulations using a deep urban deployment map and 5G New Radio sounding reference signals.
Main Results:
- Significant improvement in positioning accuracy by combining UTDoA and AoA.
- Enhanced localization performance through the integration of angular and time-based measurements.
- Effective detection and elimination of Non-Line of Sight (NLoS) affected measurements.
- Validation of the proposed approach in a simulated deep urban environment.
Conclusions:
- Joint UTDoA and AoA with advanced antennas significantly boosts 5G positioning accuracy.
- The proposed method effectively mitigates Non-Line of Sight (NLoS) errors in urban scenarios.
- This research contributes to achieving high-accuracy cellular positioning in challenging environments.
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