{"title":"基于Lorenz混沌吸引子产生的时间序列的多径衰落信道模拟器","authors":"Muhammad Hassan, Usman Saeed, Waqar Mahmood","doi":"10.1109/ICEE.2009.5173166","DOIUrl":null,"url":null,"abstract":"In this paper, we present a tapped delay line multipath fading channel simulator that uses deterministic Lorenz chaotic attractor to approximate complex-valued Gaussian random process generators to be connected at each tap. When Lorenz attractor becomes chaotic for specific values of its parameters, PDF of its y(t) becomes a crude approximation to Gaussian and hence can be used to simulate time-varying coefficients. MATLAB is used to both implement the simulator and numerically solve the Lorenz attractor. For a typical input, which we chose as a phase modulated signal, we show that the PDFs of output signal's amplitude and phase follow Rayleigh and Uniform distributions, respectively, as is expected theoretically.","PeriodicalId":244218,"journal":{"name":"2009 Third International Conference on Electrical Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A multipath fading channel simulator based on time series generated by Lorenz chaotic attractor\",\"authors\":\"Muhammad Hassan, Usman Saeed, Waqar Mahmood\",\"doi\":\"10.1109/ICEE.2009.5173166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a tapped delay line multipath fading channel simulator that uses deterministic Lorenz chaotic attractor to approximate complex-valued Gaussian random process generators to be connected at each tap. When Lorenz attractor becomes chaotic for specific values of its parameters, PDF of its y(t) becomes a crude approximation to Gaussian and hence can be used to simulate time-varying coefficients. MATLAB is used to both implement the simulator and numerically solve the Lorenz attractor. For a typical input, which we chose as a phase modulated signal, we show that the PDFs of output signal's amplitude and phase follow Rayleigh and Uniform distributions, respectively, as is expected theoretically.\",\"PeriodicalId\":244218,\"journal\":{\"name\":\"2009 Third International Conference on Electrical Engineering\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third International Conference on Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE.2009.5173166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE.2009.5173166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multipath fading channel simulator based on time series generated by Lorenz chaotic attractor
In this paper, we present a tapped delay line multipath fading channel simulator that uses deterministic Lorenz chaotic attractor to approximate complex-valued Gaussian random process generators to be connected at each tap. When Lorenz attractor becomes chaotic for specific values of its parameters, PDF of its y(t) becomes a crude approximation to Gaussian and hence can be used to simulate time-varying coefficients. MATLAB is used to both implement the simulator and numerically solve the Lorenz attractor. For a typical input, which we chose as a phase modulated signal, we show that the PDFs of output signal's amplitude and phase follow Rayleigh and Uniform distributions, respectively, as is expected theoretically.