SSB-Based Multi-Target Detection and Joint Velocity, Angle, and Range Estimation in 5G-NR

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-04-15 DOI:10.1109/LCOMM.2025.3561082

Yousef Awad;Abdulkadir Celik;Ahmed Eltawil

引用次数: 0

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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5G-NR中基于ssb的多目标检测与关节速度、角度和距离估计

这项工作旨在利用现有的第五代（5G）新无线电（NR）同步信号（SS）突发，用于网络侧集成传感和通信（ISAC）。提出了一种新的基于密度的应用噪声聚类（DBSCAN）多目标检测算法。此外，利用SS突发的波束扫描特性，提出了联合速度、角度和距离（JVAR）估计算法。仿真结果表明，对于不同目标数量的场景，所提出的检测算法总体平均检测精度可达到0.98左右。另一方面，JVAR估计精度依赖于单个雷达的速度、角度和距离分辨率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.