{"title":"A Pseudorandom Signal Generator Based on the Lorentz System Subjected to Quasi-Resonant Action","authors":"S. Loginov, M. Zuev, Ya. G. Agacheva","doi":"10.1109/WECONF48837.2020.9131530","DOIUrl":null,"url":null,"abstract":"This paper presents the results of tests of FIPS 140-2 binary sequences based on a modified Lorentz dynamic system using quasi-resonant effects. Statistical characteristics of a binary pseudorandom signal generator based on the Lorentz system are presented. The analysis of autocorrelation and cross-correlation functions is carried out, estimates of the levels of their side lobes are obtained. The results of the analysis can be used in the design of communication systems with noise-like signals, in solving problems of statistical modeling and increasing the confidentiality of information.","PeriodicalId":303530,"journal":{"name":"2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WECONF48837.2020.9131530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents the results of tests of FIPS 140-2 binary sequences based on a modified Lorentz dynamic system using quasi-resonant effects. Statistical characteristics of a binary pseudorandom signal generator based on the Lorentz system are presented. The analysis of autocorrelation and cross-correlation functions is carried out, estimates of the levels of their side lobes are obtained. The results of the analysis can be used in the design of communication systems with noise-like signals, in solving problems of statistical modeling and increasing the confidentiality of information.