{"title":"无线通信中采用压缩感知的增强数据检测","authors":"K. Pan, Tanbir Haque, R. Difazio, A. Zeira","doi":"10.1109/NOF.2014.7119782","DOIUrl":null,"url":null,"abstract":"A framework and algorithm employing compressed sensing (CS) for orthogonal frequency division multiplexing (OFDM) systems is proposed. A compressive iterative interference cancellation for OFDM signal is presented. Prior knowledge of communication system is exploited to enhance data detection performance. Simulation results indicate that such an advanced data detection and receiver yields significant gains in bit error rate (BER) at low sampling rates.","PeriodicalId":435905,"journal":{"name":"2014 International Conference and Workshop on the Network of the Future (NOF)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enhanced data detection employing compressed sensing In wireless communications\",\"authors\":\"K. Pan, Tanbir Haque, R. Difazio, A. Zeira\",\"doi\":\"10.1109/NOF.2014.7119782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A framework and algorithm employing compressed sensing (CS) for orthogonal frequency division multiplexing (OFDM) systems is proposed. A compressive iterative interference cancellation for OFDM signal is presented. Prior knowledge of communication system is exploited to enhance data detection performance. Simulation results indicate that such an advanced data detection and receiver yields significant gains in bit error rate (BER) at low sampling rates.\",\"PeriodicalId\":435905,\"journal\":{\"name\":\"2014 International Conference and Workshop on the Network of the Future (NOF)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference and Workshop on the Network of the Future (NOF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NOF.2014.7119782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference and Workshop on the Network of the Future (NOF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOF.2014.7119782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced data detection employing compressed sensing In wireless communications
A framework and algorithm employing compressed sensing (CS) for orthogonal frequency division multiplexing (OFDM) systems is proposed. A compressive iterative interference cancellation for OFDM signal is presented. Prior knowledge of communication system is exploited to enhance data detection performance. Simulation results indicate that such an advanced data detection and receiver yields significant gains in bit error rate (BER) at low sampling rates.