Carrier-to-Noise Ratio Improvement of 5G Signals via Beamforming for TOA-Based Opportunistic Navigation

A method to improve the carrier-to-noise ratio <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(C/N_{0})$</tex> of received cellular fifth-generation (5G) signals via beamforming is developed. The developed method utilizes the direction-of-arrival (DOA) estimated from an antenna array, which is processed and fed to the receiver's tracking loops estimating the time-of-arrival (TOA). Experimental results are presented demonstrating a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C/N_{0}$</tex> improvement of about 7 dB in a stationary scenario and 6 dB in a moving scenario, compared to a non-beamformed approach. Using fused TOA and DOA measurements from two 5G gNBs via an extended Kalman filter (EKF), it is shown that starting from an initial position estimate 470 m away, the receiver can localize itself to within 10.6 m. In the moving scenario, fusing non-beamformed TOA measurements to two 5G gNBs via an EKF yielded a two-dimensional position root mean-squared error (RMSE) of 8.1 m, while using beamformed TOA measurements reduced the RMSE to 5.4 m.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/wcnc61545.2025.10978168
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.73

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article

Carrier-to-Noise Ratio Improvement of 5G Signals via Beamforming for TOA-Based Opportunistic Navigation

Zaher M. Kassas, Shaghayegh Shahcheraghi
1 citations
Indoor and Outdoor Localization Technologies
0.73
article

Carrier-to-Noise Ratio Improvement of 5G Signals via Beamforming for TOA-Based Opportunistic Navigation

Zaher M. Kassas, Shaghayegh Shahcheraghi
article en
1 citations

Abstract

A method to improve the carrier-to-noise ratio <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(C/N_{0})$</tex> of received cellular fifth-generation (5G) signals via beamforming is developed. The developed method utilizes the direction-of-arrival (DOA) estimated from an antenna array, which is processed and fed to the receiver's tracking loops estimating the time-of-arrival (TOA). Experimental results are presented demonstrating a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C/N_{0}$</tex> improvement of about 7 dB in a stationary scenario and 6 dB in a moving scenario, compared to a non-beamformed approach. Using fused TOA and DOA measurements from two 5G gNBs via an extended Kalman filter (EKF), it is shown that starting from an initial position estimate 470 m away, the receiver can localize itself to within 10.6 m. In the moving scenario, fusing non-beamformed TOA measurements to two 5G gNBs via an EKF yielded a two-dimensional position root mean-squared error (RMSE) of 8.1 m, while using beamformed TOA measurements reduced the RMSE to 5.4 m.

The Ohio State University (US)
U.S. Department of Transportation, Office of Naval Research, Air Force Office of Scientific Research
Affordable and clean energy
Openalex Percentile: Top 29%
Indoor and Outdoor Localization Technologies
0.73
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