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.