Jinfeng Yang, Zhangjian Qin, Qin Zhang, Tanzheng Yang
{"title":"Research on Modulation Mode Identification of PSK Signal Based on M-th Power Spectrum Features","authors":"Jinfeng Yang, Zhangjian Qin, Qin Zhang, Tanzheng Yang","doi":"10.1109/ICWOC55996.2022.9809871","DOIUrl":null,"url":null,"abstract":"With the variety and complexity of communication signal modulation, it is more important and urgent to solve the problem of modulation identification. The modulation identification of PSK signal is studied based on the features of M-th power spectrum. The M-th power spectrum of BPSK signal, QPSK signal, OQPSK signal, DQPSK signal and π/4-DQPSK signal are simulated by Matlab. The features of M -th power spectrum of these five signals are summarized through the simulation results. Based on the results, a set of identification rules and identification process are designed, which can be used for intra-class identification of PSK signals.","PeriodicalId":402416,"journal":{"name":"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWOC55996.2022.9809871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the variety and complexity of communication signal modulation, it is more important and urgent to solve the problem of modulation identification. The modulation identification of PSK signal is studied based on the features of M-th power spectrum. The M-th power spectrum of BPSK signal, QPSK signal, OQPSK signal, DQPSK signal and π/4-DQPSK signal are simulated by Matlab. The features of M -th power spectrum of these five signals are summarized through the simulation results. Based on the results, a set of identification rules and identification process are designed, which can be used for intra-class identification of PSK signals.
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