Sameer A. Dawood, M. Anuar, R. A. Fayadh, F. Malek, F. Abdullah
{"title":"无线信道上基于过采样多小波变换的多载波码分多址系统性能分析","authors":"Sameer A. Dawood, M. Anuar, R. A. Fayadh, F. Malek, F. Abdullah","doi":"10.1109/ICED.2014.7015762","DOIUrl":null,"url":null,"abstract":"In this paper, an over-sampling inverse discrete multiwavelet transform (IDMWT) is suggested as a modulator strategy instead of inverse fast Fourier transform (IFFT) in the realization of the multicarrier code division multiple access (MC-CDMA) system. The suggested strategy was applied on the MC-CDMA with additive white Gaussian noise (AWGN) channel, flat fading channel and frequency selective fading channel. Simulation results showed that, the proposed method gives a better bit error rate (BER) efficiency than the traditional MC-CDMA model based on fast Fourier transform (FFT) and MC-CDMA based on discrete wavelet transform (DWT).","PeriodicalId":143806,"journal":{"name":"2014 2nd International Conference on Electronic Design (ICED)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Performance analysis of multi-carrier code division multiple access system based on over-sampling multiwavelet transform over wireless channel\",\"authors\":\"Sameer A. Dawood, M. Anuar, R. A. Fayadh, F. Malek, F. Abdullah\",\"doi\":\"10.1109/ICED.2014.7015762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an over-sampling inverse discrete multiwavelet transform (IDMWT) is suggested as a modulator strategy instead of inverse fast Fourier transform (IFFT) in the realization of the multicarrier code division multiple access (MC-CDMA) system. The suggested strategy was applied on the MC-CDMA with additive white Gaussian noise (AWGN) channel, flat fading channel and frequency selective fading channel. Simulation results showed that, the proposed method gives a better bit error rate (BER) efficiency than the traditional MC-CDMA model based on fast Fourier transform (FFT) and MC-CDMA based on discrete wavelet transform (DWT).\",\"PeriodicalId\":143806,\"journal\":{\"name\":\"2014 2nd International Conference on Electronic Design (ICED)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 2nd International Conference on Electronic Design (ICED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICED.2014.7015762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 2nd International Conference on Electronic Design (ICED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICED.2014.7015762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis of multi-carrier code division multiple access system based on over-sampling multiwavelet transform over wireless channel
In this paper, an over-sampling inverse discrete multiwavelet transform (IDMWT) is suggested as a modulator strategy instead of inverse fast Fourier transform (IFFT) in the realization of the multicarrier code division multiple access (MC-CDMA) system. The suggested strategy was applied on the MC-CDMA with additive white Gaussian noise (AWGN) channel, flat fading channel and frequency selective fading channel. Simulation results showed that, the proposed method gives a better bit error rate (BER) efficiency than the traditional MC-CDMA model based on fast Fourier transform (FFT) and MC-CDMA based on discrete wavelet transform (DWT).