{"title":"M-ary LREC连续调相信号功率谱的解析表达式","authors":"R.A. Korkosz, Dilip V. Sarwate","doi":"10.1109/ICC.1992.268205","DOIUrl":null,"url":null,"abstract":"Several different methods are available for computing the power spectral density (PSD) of a general continuous phase modulated (CPM) signal. For the case of rectangular frequency pulses with L=1 (that is, M-ary continuous phase frequency shift keying (CPFSK) or M-ary 1REC CPM), an analytical expression is known for the PSD when the data symbols are equally likely. An analytic expression is obtained for the PSD of an M-ary LREC CPM signal where L is an arbitrary positive integer and the data symbols are not necessarily equally likely. The technique employed does not require the tedious evaluation of integrals. Rather, the integrals are recognized as convolutions and the PSD is obtained using simple Fourier transform properties. Some numerical results and computational aspects of the method are discussed.<<ETX>>","PeriodicalId":170618,"journal":{"name":"[Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An analytical expression for power spectra of M-ary LREC continuous phase modulation signals\",\"authors\":\"R.A. Korkosz, Dilip V. Sarwate\",\"doi\":\"10.1109/ICC.1992.268205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several different methods are available for computing the power spectral density (PSD) of a general continuous phase modulated (CPM) signal. For the case of rectangular frequency pulses with L=1 (that is, M-ary continuous phase frequency shift keying (CPFSK) or M-ary 1REC CPM), an analytical expression is known for the PSD when the data symbols are equally likely. An analytic expression is obtained for the PSD of an M-ary LREC CPM signal where L is an arbitrary positive integer and the data symbols are not necessarily equally likely. The technique employed does not require the tedious evaluation of integrals. Rather, the integrals are recognized as convolutions and the PSD is obtained using simple Fourier transform properties. Some numerical results and computational aspects of the method are discussed.<<ETX>>\",\"PeriodicalId\":170618,\"journal\":{\"name\":\"[Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICC.1992.268205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.1992.268205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analytical expression for power spectra of M-ary LREC continuous phase modulation signals
Several different methods are available for computing the power spectral density (PSD) of a general continuous phase modulated (CPM) signal. For the case of rectangular frequency pulses with L=1 (that is, M-ary continuous phase frequency shift keying (CPFSK) or M-ary 1REC CPM), an analytical expression is known for the PSD when the data symbols are equally likely. An analytic expression is obtained for the PSD of an M-ary LREC CPM signal where L is an arbitrary positive integer and the data symbols are not necessarily equally likely. The technique employed does not require the tedious evaluation of integrals. Rather, the integrals are recognized as convolutions and the PSD is obtained using simple Fourier transform properties. Some numerical results and computational aspects of the method are discussed.<>