{"title":"现代调制波形识别及其在ABMS和VDATS测试程序集开发中的应用","authors":"S. Sobolewski, W. L. Adams, R. Sankar","doi":"10.1109/AUTOTESTCON47462.2022.9984715","DOIUrl":null,"url":null,"abstract":"A convenient and well-performing Automatic Modulation Recognition technique for discrimination of numerous modern modulated waveforms found in commercial as well as military communication systems applicable to the new Air Force ABMS system as well as VDATS TPS development is presented. It involves generating complex feature vectors composed of high-order direct cumulant, cyclostationary and Fourier of wavelet transform features created with the help of Principal Component Analysis and variance data compression. Twelve modulated waveforms are used to evaluate the performance of the expanded feature vectors: eight commercial modulated waveforms [Quaternary Amplitude Shift Keying (QASK), Quaternary Frequency Shift Keying (QFSK), Quaternary Phase Shift Keying (QPSK), 16-Point Quadrature Amplitude Modulation (QAM-4,4), Gaussian Minimum Shift Keying (GMSK), Frequency Quadrature Amplitude Modulation (FQAM), Filter Bank Multi Carrier (FBMC) and Universal Filtered Multi Carrier (UFMC)], (Cosine) Binary Offset Carrier - BOC(1,1) - waveforms used in the European Galileo Navigation System and three waveforms utilized in defense military systems [Quaternary Linear Frequency Modulation (QLFM), Quaternary Pulse Width and Pulse Position Modulations (QPWM and QPPM)]. Generated complex feature vectors are categorized by a neural network to compare with corresponding library feature patterns.","PeriodicalId":298798,"journal":{"name":"2022 IEEE AUTOTESTCON","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Recognition of Modern Modulated Waveforms with Applications to ABMS and VDATS Test Program Set Development\",\"authors\":\"S. Sobolewski, W. L. Adams, R. Sankar\",\"doi\":\"10.1109/AUTOTESTCON47462.2022.9984715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A convenient and well-performing Automatic Modulation Recognition technique for discrimination of numerous modern modulated waveforms found in commercial as well as military communication systems applicable to the new Air Force ABMS system as well as VDATS TPS development is presented. It involves generating complex feature vectors composed of high-order direct cumulant, cyclostationary and Fourier of wavelet transform features created with the help of Principal Component Analysis and variance data compression. Twelve modulated waveforms are used to evaluate the performance of the expanded feature vectors: eight commercial modulated waveforms [Quaternary Amplitude Shift Keying (QASK), Quaternary Frequency Shift Keying (QFSK), Quaternary Phase Shift Keying (QPSK), 16-Point Quadrature Amplitude Modulation (QAM-4,4), Gaussian Minimum Shift Keying (GMSK), Frequency Quadrature Amplitude Modulation (FQAM), Filter Bank Multi Carrier (FBMC) and Universal Filtered Multi Carrier (UFMC)], (Cosine) Binary Offset Carrier - BOC(1,1) - waveforms used in the European Galileo Navigation System and three waveforms utilized in defense military systems [Quaternary Linear Frequency Modulation (QLFM), Quaternary Pulse Width and Pulse Position Modulations (QPWM and QPPM)]. Generated complex feature vectors are categorized by a neural network to compare with corresponding library feature patterns.\",\"PeriodicalId\":298798,\"journal\":{\"name\":\"2022 IEEE AUTOTESTCON\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE AUTOTESTCON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUTOTESTCON47462.2022.9984715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE AUTOTESTCON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTOTESTCON47462.2022.9984715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognition of Modern Modulated Waveforms with Applications to ABMS and VDATS Test Program Set Development
A convenient and well-performing Automatic Modulation Recognition technique for discrimination of numerous modern modulated waveforms found in commercial as well as military communication systems applicable to the new Air Force ABMS system as well as VDATS TPS development is presented. It involves generating complex feature vectors composed of high-order direct cumulant, cyclostationary and Fourier of wavelet transform features created with the help of Principal Component Analysis and variance data compression. Twelve modulated waveforms are used to evaluate the performance of the expanded feature vectors: eight commercial modulated waveforms [Quaternary Amplitude Shift Keying (QASK), Quaternary Frequency Shift Keying (QFSK), Quaternary Phase Shift Keying (QPSK), 16-Point Quadrature Amplitude Modulation (QAM-4,4), Gaussian Minimum Shift Keying (GMSK), Frequency Quadrature Amplitude Modulation (FQAM), Filter Bank Multi Carrier (FBMC) and Universal Filtered Multi Carrier (UFMC)], (Cosine) Binary Offset Carrier - BOC(1,1) - waveforms used in the European Galileo Navigation System and three waveforms utilized in defense military systems [Quaternary Linear Frequency Modulation (QLFM), Quaternary Pulse Width and Pulse Position Modulations (QPWM and QPPM)]. Generated complex feature vectors are categorized by a neural network to compare with corresponding library feature patterns.