S3:Low Cost Real-Time Spectrum Sensing using SDR

摘要：

　　It is always an urgent problem to detect unauthorized access to spectrum by malicious devices in real time,such that the access of legal devices can be guaranteed.Dedicate spectrum sensing devices are extremely expensive and bulky,which can not be applied in normal scenario.We present S3,a real-time spectrum sensing and analyzing method,in which a smartphone is adopted as the upper computer to send in-structions to a master control module of Raspberry Pi,and the master control module drives a Software Defined Ra-dio(SDR)based spectrum sensing module.The real-time sensing results are displayed on the smartphone,and stored into a local database at the same time for further analyz-ing.We evaluate the accuracy and effectiveness of our S3 by comparing with a dedicated spectrum analyzer.Evaluation results demonstrate that S3 can achieve high accuracy real-time sensing.In average,the relative difference between S3 and its comparison is 1.045%.Furthermore,we implement four real-time spectrum analysis functions,including signal strength,channel occupancy,frequency band occupancy and waterfall plot.

关键词： low cost real-time spectrum sensing smartphone

作者: Wei Liu Shan Chang Hongzi Zhu Yiming Liu

作者单位: Donghua University Shanghai,China Shanghai Jiaotong University Shanghai,China Hainan University Haikou,China

会议类型: 国际会议

会议名称: 2019国图灵大会(ACM Turing Celebration conference-China 2019 )

会议地点: 成都

会议语种:英文

页码: 403-407

在线出版日期: 2019-05-17（万方平台首次上网日期，不代表论文的发表时间）