SSB-based multi-target detection and joint velocity, angle, and range estimation in 5G-NR
SSB-based multi-target detection and joint velocity, angle, and range estimation in 5G-NR
This work aims to leverage the existing fifth generation (5G) new radio (NR) synchronization signal (SS) burst for network-side integrated sensing and communications (ISAC). A novel density-based clustering of applications with noise (DBSCAN)-based multi target detection algorithm is proposed. Furthermore, utilizing the beam sweeping nature of the SS burst, joint velocity, angle, and range (JVAR) estimation algorithms are proposed. Simulation results show that the proposed detection algorithm can reach an overall average detection accuracy of around 0.98 for different number of targets scenarios. On the other hand, the JVAR estimation accuracy are dependent on the individual radar resolution of velocity, angle and range.
5G-NR, ISAC, orthogonal frequency-division multiplexing, radar, Synchronization signal block
1340-1344
Awad, Yousef
da09df6b-1b0b-4d49-9084-01107daf562e
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Eltawil, Ahmed
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72
June 2025
Awad, Yousef
da09df6b-1b0b-4d49-9084-01107daf562e
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Eltawil, Ahmed
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72
Awad, Yousef, Celik, Abdulkadir and Eltawil, Ahmed
(2025)
SSB-based multi-target detection and joint velocity, angle, and range estimation in 5G-NR.
IEEE Communications Letters, 29 (6), .
(doi:10.1109/LCOMM.2025.3561082).
Abstract
This work aims to leverage the existing fifth generation (5G) new radio (NR) synchronization signal (SS) burst for network-side integrated sensing and communications (ISAC). A novel density-based clustering of applications with noise (DBSCAN)-based multi target detection algorithm is proposed. Furthermore, utilizing the beam sweeping nature of the SS burst, joint velocity, angle, and range (JVAR) estimation algorithms are proposed. Simulation results show that the proposed detection algorithm can reach an overall average detection accuracy of around 0.98 for different number of targets scenarios. On the other hand, the JVAR estimation accuracy are dependent on the individual radar resolution of velocity, angle and range.
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More information
Accepted/In Press date: 12 April 2025
e-pub ahead of print date: 15 April 2025
Published date: June 2025
Keywords:
5G-NR, ISAC, orthogonal frequency-division multiplexing, radar, Synchronization signal block
Identifiers
Local EPrints ID: 505754
URI: http://eprints.soton.ac.uk/id/eprint/505754
ISSN: 1089-7798
PURE UUID: 0307fb37-0ca3-44c6-bacd-e1fb93765c53
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Date deposited: 17 Oct 2025 16:40
Last modified: 18 Oct 2025 02:18
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Contributors
Author:
Yousef Awad
Author:
Abdulkadir Celik
Author:
Ahmed Eltawil
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