{"title":"指数映射的线性逼近及其在非相干系统简化检测中的应用","authors":"A. Cipriano, I. Kammoun","doi":"10.1109/SPAWC.2006.346418","DOIUrl":null,"url":null,"abstract":"We propose an approximated generalized likelihood ratio test (GLRT) for noncoherent systems which use constellations over the Grassmannian generated by the exponential map. By means of this approximation we succeeded in coping with the strong non-linearity introduced by the exponential map. The new simplified decoder, which implements the approximated GLRT, is in fact quasi-optimal with respect to the GLRT. We analyze the performance of the new decoder in terms of structure, complexity and error probability for uncoded and coded noncoherent constellations","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Linear Approximation of the Exponential Map with Application to Simplified Detection of Noncoherent Systems\",\"authors\":\"A. Cipriano, I. Kammoun\",\"doi\":\"10.1109/SPAWC.2006.346418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an approximated generalized likelihood ratio test (GLRT) for noncoherent systems which use constellations over the Grassmannian generated by the exponential map. By means of this approximation we succeeded in coping with the strong non-linearity introduced by the exponential map. The new simplified decoder, which implements the approximated GLRT, is in fact quasi-optimal with respect to the GLRT. We analyze the performance of the new decoder in terms of structure, complexity and error probability for uncoded and coded noncoherent constellations\",\"PeriodicalId\":414942,\"journal\":{\"name\":\"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2006.346418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2006.346418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear Approximation of the Exponential Map with Application to Simplified Detection of Noncoherent Systems
We propose an approximated generalized likelihood ratio test (GLRT) for noncoherent systems which use constellations over the Grassmannian generated by the exponential map. By means of this approximation we succeeded in coping with the strong non-linearity introduced by the exponential map. The new simplified decoder, which implements the approximated GLRT, is in fact quasi-optimal with respect to the GLRT. We analyze the performance of the new decoder in terms of structure, complexity and error probability for uncoded and coded noncoherent constellations