S. Dvornikov, A. Pshenichnikov, S. Manaenko, I. Glukhikh
{"title":"无噪声无线电通信线路的整体模型","authors":"S. Dvornikov, A. Pshenichnikov, S. Manaenko, I. Glukhikh","doi":"10.21778/2413-9599-2018-28-4-8-14","DOIUrl":null,"url":null,"abstract":"The development of radio equipment, which can be the basis for radio lines, that can counteract various kinds of interference, both natural and artificial, has always been given special attention. In this case, the main way to interfere with such radio links is, as a rule, the expansion of the signal base. However, this method does not take into account the nature of the destructive effects in conditions of limited frequency and energy resources of radio channels. In this connection, the studies focused on the development of functional models of noise-free radio communication lines, taking into account the density of signal energy distribution in a limited state space, are relevant. This paper considers the development of an integrated model of noise-free radio communication lines, which is characterized by the accounting of statistical parameters of the radio channel model. The approaches to the estimation of efficiency of the developed functional model of the radio lines based on the calculation of information transmission reliability are presented. Theoretical solutions were obtained by the methods of statistical radio engineering and the theory of telecommunications; they are generalized for the models of channels with variable parameters in conditions of nonrandom destructive influence. А positive effect of the practical implementation of the developed model is shown on the basis of analytical modeling.","PeriodicalId":32947,"journal":{"name":"Radiopromyshlennost''","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integral model of noise-free radio communication lines\",\"authors\":\"S. Dvornikov, A. Pshenichnikov, S. Manaenko, I. Glukhikh\",\"doi\":\"10.21778/2413-9599-2018-28-4-8-14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of radio equipment, which can be the basis for radio lines, that can counteract various kinds of interference, both natural and artificial, has always been given special attention. In this case, the main way to interfere with such radio links is, as a rule, the expansion of the signal base. However, this method does not take into account the nature of the destructive effects in conditions of limited frequency and energy resources of radio channels. In this connection, the studies focused on the development of functional models of noise-free radio communication lines, taking into account the density of signal energy distribution in a limited state space, are relevant. This paper considers the development of an integrated model of noise-free radio communication lines, which is characterized by the accounting of statistical parameters of the radio channel model. The approaches to the estimation of efficiency of the developed functional model of the radio lines based on the calculation of information transmission reliability are presented. Theoretical solutions were obtained by the methods of statistical radio engineering and the theory of telecommunications; they are generalized for the models of channels with variable parameters in conditions of nonrandom destructive influence. А positive effect of the practical implementation of the developed model is shown on the basis of analytical modeling.\",\"PeriodicalId\":32947,\"journal\":{\"name\":\"Radiopromyshlennost''\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiopromyshlennost''\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21778/2413-9599-2018-28-4-8-14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiopromyshlennost''","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21778/2413-9599-2018-28-4-8-14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integral model of noise-free radio communication lines
The development of radio equipment, which can be the basis for radio lines, that can counteract various kinds of interference, both natural and artificial, has always been given special attention. In this case, the main way to interfere with such radio links is, as a rule, the expansion of the signal base. However, this method does not take into account the nature of the destructive effects in conditions of limited frequency and energy resources of radio channels. In this connection, the studies focused on the development of functional models of noise-free radio communication lines, taking into account the density of signal energy distribution in a limited state space, are relevant. This paper considers the development of an integrated model of noise-free radio communication lines, which is characterized by the accounting of statistical parameters of the radio channel model. The approaches to the estimation of efficiency of the developed functional model of the radio lines based on the calculation of information transmission reliability are presented. Theoretical solutions were obtained by the methods of statistical radio engineering and the theory of telecommunications; they are generalized for the models of channels with variable parameters in conditions of nonrandom destructive influence. А positive effect of the practical implementation of the developed model is shown on the basis of analytical modeling.