{"title":"非合作环境下卷积交织器的估计","authors":"Yoon-Ji Kim, Geunbae Kim, D. Yoon","doi":"10.23919/ICACT48636.2020.9061439","DOIUrl":null,"url":null,"abstract":"In this paper, we propose the method for blind estimation of convolutional interleaver parameters in a noncooperative context by analysing repetitive patterns in interleaved sequences. Simulation results verify that proposed method could effectively estimate convolutional interleaver parameters in a noisy environment.","PeriodicalId":296763,"journal":{"name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Estimation of Convolutional Interleaver in a Non-cooperative Context\",\"authors\":\"Yoon-Ji Kim, Geunbae Kim, D. Yoon\",\"doi\":\"10.23919/ICACT48636.2020.9061439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose the method for blind estimation of convolutional interleaver parameters in a noncooperative context by analysing repetitive patterns in interleaved sequences. Simulation results verify that proposed method could effectively estimate convolutional interleaver parameters in a noisy environment.\",\"PeriodicalId\":296763,\"journal\":{\"name\":\"2020 22nd International Conference on Advanced Communication Technology (ICACT)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 22nd International Conference on Advanced Communication Technology (ICACT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICACT48636.2020.9061439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT48636.2020.9061439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of Convolutional Interleaver in a Non-cooperative Context
In this paper, we propose the method for blind estimation of convolutional interleaver parameters in a noncooperative context by analysing repetitive patterns in interleaved sequences. Simulation results verify that proposed method could effectively estimate convolutional interleaver parameters in a noisy environment.