Roland Gautier, Gilles Burel, J. Letessier, Olivier Berder
{"title":"利用编码器冗余盲估计扰频器偏移量","authors":"Roland Gautier, Gilles Burel, J. Letessier, Olivier Berder","doi":"10.1109/ACSSC.2002.1197256","DOIUrl":null,"url":null,"abstract":"A self-recovering receiver for encoded and scrambled binary data streams is proposed in this paper. The generating polynomial of the scrambling sequence is known, as well as the encoder structure and coefficients, but the scrambler time offset is unknown. Taking profit of redundancy introduced by the encoder, we proposed a method which is able to estimate the scrambling sequence offset from the observed scrambled stream. The method is based on the projection of the observed data on the encoder orthogonal subspace. Once the offset has been estimated, classical data descrambling and decoding can be used to recover the information stream.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"594 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Blind estimation of scrambler offset using encoder redundancy\",\"authors\":\"Roland Gautier, Gilles Burel, J. Letessier, Olivier Berder\",\"doi\":\"10.1109/ACSSC.2002.1197256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A self-recovering receiver for encoded and scrambled binary data streams is proposed in this paper. The generating polynomial of the scrambling sequence is known, as well as the encoder structure and coefficients, but the scrambler time offset is unknown. Taking profit of redundancy introduced by the encoder, we proposed a method which is able to estimate the scrambling sequence offset from the observed scrambled stream. The method is based on the projection of the observed data on the encoder orthogonal subspace. Once the offset has been estimated, classical data descrambling and decoding can be used to recover the information stream.\",\"PeriodicalId\":284950,\"journal\":{\"name\":\"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.\",\"volume\":\"594 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2002.1197256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2002.1197256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind estimation of scrambler offset using encoder redundancy
A self-recovering receiver for encoded and scrambled binary data streams is proposed in this paper. The generating polynomial of the scrambling sequence is known, as well as the encoder structure and coefficients, but the scrambler time offset is unknown. Taking profit of redundancy introduced by the encoder, we proposed a method which is able to estimate the scrambling sequence offset from the observed scrambled stream. The method is based on the projection of the observed data on the encoder orthogonal subspace. Once the offset has been estimated, classical data descrambling and decoding can be used to recover the information stream.