{"title":"Time diversity for digital mobile radio","authors":"A. Turkmani, A. de Toledo","doi":"10.1109/VETEC.1990.110387","DOIUrl":null,"url":null,"abstract":"A software investigation was undertaken to assess the performance of signal transmissions over a Rayleigh fading mobile radio channel, and to compare the effective utilization of the channel by other time diversity techniques. It involved the simulation of a communication system using Manchester-encoded data with a bit rate of 8 kb/s, phase shift keying (PSK) modulation, and ideal coherent demodulation. The diversity techniques investigated are voting, selection, and combining with different signal strength weighting factors. Results show that postdetection linear combining (unity weighting factor) yields the maximum diversity improvement. It is shown that an improvement in the bit error rate (BER) performance is possible without increasing the number of repeated words.<<ETX>>","PeriodicalId":366352,"journal":{"name":"40th IEEE Conference on Vehicular Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"40th IEEE Conference on Vehicular Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETEC.1990.110387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A software investigation was undertaken to assess the performance of signal transmissions over a Rayleigh fading mobile radio channel, and to compare the effective utilization of the channel by other time diversity techniques. It involved the simulation of a communication system using Manchester-encoded data with a bit rate of 8 kb/s, phase shift keying (PSK) modulation, and ideal coherent demodulation. The diversity techniques investigated are voting, selection, and combining with different signal strength weighting factors. Results show that postdetection linear combining (unity weighting factor) yields the maximum diversity improvement. It is shown that an improvement in the bit error rate (BER) performance is possible without increasing the number of repeated words.<>
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