{"title":"Efficient optical wireless communication in the presence of signal-dependent noise","authors":"M. Safari","doi":"10.1109/ICCW.2015.7247372","DOIUrl":null,"url":null,"abstract":"This work investigates the problem of efficient signalling for optical wireless communication systems in the presence of signal-dependent noise. We propose a novel scheme based on signalling in the square-root domain (as defined by a square-root transform) where the optical channel originally distorted by signal-dependent noise is transformed into a stationary white Gaussian noise channel. The bit error rate (BER) of the proposed scheme is derived and compared with the BER performance of the conventional signalling in time domain. As an alternative solution, signalling in frequency domain is analyzed in the presence of signal-dependent noise.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":"35 1","pages":"1387-1391"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Communication Workshop (ICCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCW.2015.7247372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
This work investigates the problem of efficient signalling for optical wireless communication systems in the presence of signal-dependent noise. We propose a novel scheme based on signalling in the square-root domain (as defined by a square-root transform) where the optical channel originally distorted by signal-dependent noise is transformed into a stationary white Gaussian noise channel. The bit error rate (BER) of the proposed scheme is derived and compared with the BER performance of the conventional signalling in time domain. As an alternative solution, signalling in frequency domain is analyzed in the presence of signal-dependent noise.