{"title":"Data transmission characteristics in short range inter-vehicle communication system (IVCS)","authors":"W. Kremer","doi":"10.1109/VETEC.1992.245418","DOIUrl":null,"url":null,"abstract":"The author deals with the data transmission characteristics of a previously presented short-range intervehicle communication system The quality of the microwave communication channel is characterized by the fact that both, sender and receiver are in motion. The communication link is modeled theoretically by the prediction of expected signal-to-noise ratio (SNR) which is determined by two factors, the sender-receiver distance and the fading phenomenon. The characteristics of that channel are examined and selected FEC-coding techniques are applied, including BCH, burst, Reed-Solomon, and convolutional codes each with different code rates. It is shown that FEC codes gain improvements of the channel, without significant differences between various code rates. The Viterbi algorithm for convolutional codes shows the best improvement of the transmission capability, even with low coding overhead.<<ETX>>","PeriodicalId":114705,"journal":{"name":"[1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETEC.1992.245418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The author deals with the data transmission characteristics of a previously presented short-range intervehicle communication system The quality of the microwave communication channel is characterized by the fact that both, sender and receiver are in motion. The communication link is modeled theoretically by the prediction of expected signal-to-noise ratio (SNR) which is determined by two factors, the sender-receiver distance and the fading phenomenon. The characteristics of that channel are examined and selected FEC-coding techniques are applied, including BCH, burst, Reed-Solomon, and convolutional codes each with different code rates. It is shown that FEC codes gain improvements of the channel, without significant differences between various code rates. The Viterbi algorithm for convolutional codes shows the best improvement of the transmission capability, even with low coding overhead.<>