{"title":"Pilot Assisted Channel Assessment for MIMO-OFDM over Dispersive Fading Channels","authors":"J. Jose, Anu K Kuriakose","doi":"10.1109/ICFCR50903.2020.9249971","DOIUrl":null,"url":null,"abstract":"The mobile network is the most establishing communication technology nowadays, In order to support its high speed data rate in real time process it often use adaptive algorithms. But in fact, the performance of frequency selective fading channels are not effective while enduring adaptive algorithms. In this suggested method, a better channel assessment is implemented for frequency selective fading channels with an adaptive synchronization algorithm. A correlation factor is introduced to minimize the ISI (intersymbol interference) with the calculation of coarse channel length. In this suggested paper, a mixed form of blind and data aided method are used for channel assessment. The simulation results shows that the implemented channel assessment method is highly accurate with grater tracking speed and lower calculation complexity compared to the existing adaptive algorithms. Where, the previous studies never focused on a specific channel model than its parameters of interest. The theory and results are mentioned and discussed in the paper.","PeriodicalId":165947,"journal":{"name":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFCR50903.2020.9249971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The mobile network is the most establishing communication technology nowadays, In order to support its high speed data rate in real time process it often use adaptive algorithms. But in fact, the performance of frequency selective fading channels are not effective while enduring adaptive algorithms. In this suggested method, a better channel assessment is implemented for frequency selective fading channels with an adaptive synchronization algorithm. A correlation factor is introduced to minimize the ISI (intersymbol interference) with the calculation of coarse channel length. In this suggested paper, a mixed form of blind and data aided method are used for channel assessment. The simulation results shows that the implemented channel assessment method is highly accurate with grater tracking speed and lower calculation complexity compared to the existing adaptive algorithms. Where, the previous studies never focused on a specific channel model than its parameters of interest. The theory and results are mentioned and discussed in the paper.