Nessrine Ben Rejeb, Inès Bousnina, M. B. Ben Salah, A. Samet
{"title":"移动通信系统中最大多普勒扩频估计的低复杂度方法","authors":"Nessrine Ben Rejeb, Inès Bousnina, M. B. Ben Salah, A. Samet","doi":"10.1109/ICEESA.2013.6578379","DOIUrl":null,"url":null,"abstract":"In this paper, three different low-complexity maximum Doppler Spread (DS) estimators are compared. A single source transmitter through a Rayleigh channel scenario is considered. The first studied method is based on velocity estimation and correlation properties of narrow-band mobile communication channels. The second low-complexity considered approach is the robust Doppler Spread estimation in the presence of residual carrier frequency offset which exploits the covariance matrix of the received signal. The third one uses reduced interference time-frequency distribution of the received signals. Simulation results shows that the second approach offers lower estimation error with a good compromise between computational complexity and estimation accuracy.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low-complexity approaches for maximum Doppler Spread estimation in mobile communication systems\",\"authors\":\"Nessrine Ben Rejeb, Inès Bousnina, M. B. Ben Salah, A. Samet\",\"doi\":\"10.1109/ICEESA.2013.6578379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, three different low-complexity maximum Doppler Spread (DS) estimators are compared. A single source transmitter through a Rayleigh channel scenario is considered. The first studied method is based on velocity estimation and correlation properties of narrow-band mobile communication channels. The second low-complexity considered approach is the robust Doppler Spread estimation in the presence of residual carrier frequency offset which exploits the covariance matrix of the received signal. The third one uses reduced interference time-frequency distribution of the received signals. Simulation results shows that the second approach offers lower estimation error with a good compromise between computational complexity and estimation accuracy.\",\"PeriodicalId\":212631,\"journal\":{\"name\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEESA.2013.6578379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Electrical Engineering and Software Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEESA.2013.6578379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-complexity approaches for maximum Doppler Spread estimation in mobile communication systems
In this paper, three different low-complexity maximum Doppler Spread (DS) estimators are compared. A single source transmitter through a Rayleigh channel scenario is considered. The first studied method is based on velocity estimation and correlation properties of narrow-band mobile communication channels. The second low-complexity considered approach is the robust Doppler Spread estimation in the presence of residual carrier frequency offset which exploits the covariance matrix of the received signal. The third one uses reduced interference time-frequency distribution of the received signals. Simulation results shows that the second approach offers lower estimation error with a good compromise between computational complexity and estimation accuracy.