Efficient PSS Detection Algorithm Aided by CNN  

作　　者：LI Lanlan 

机构地区：[1]Shanghai Technical Institute of Electronics&Information,Shanghai 201141,China

出　　处：《ZTE Communications》2025年第1期63-70,共8页中兴通讯技术(英文版)

摘　　要：In a 5G mobile communication system,cell search is the initial step in establishing downlink synchronization between user equipment(UE)and base stations(BS).Primary synchronization signal(PSS)detection is a crucial part of this process,and enhancing PSS detection speed can reduce communication latency and improve overall quality.This paper proposes a fast PSS detection algorithm based on the correlation characteristics of PSS time-domain superposition signals.Conducting PSS signal correlation within a smaller range can reduce computational complexity and accelerates communication speed.Additionally,frequency offset can impact the accuracy of calculations during the PSS detection process.To address this issue,we propose applying convolutional neural networks(CNN)for frequency offset estimation of synchronization signals.By compensating for the frequency of related signals,the accuracy of PSS detection is improved.Finally,the analysis and simulation results demonstrate the effectiveness of the proposed approach.

关 键 词：5G CNN cell search PSS detection 

分 类 号：TN9[电子电信—信息与通信工程]