{"title":"EDGE的低复杂度软输出减少状态均衡","authors":"A. Ayman, Abdel-Samad","doi":"10.1109/ISWCS.2007.4392321","DOIUrl":null,"url":null,"abstract":"In this paper we present and compare several low-complexity approaches for soft-output equalization using reduced-state sequence estimation (RSSE) for EDGE. The proposed approaches require only a forward equalization pass and have the same complexity as hard-output RSSE equalization. However, they offer performance gains close to more complicated approaches that require both forward and backward passes.","PeriodicalId":261480,"journal":{"name":"2007 4th International Symposium on Wireless Communication Systems","volume":"253 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Low-Complexity Soft-Output Reduced-State Equalization for EDGE\",\"authors\":\"A. Ayman, Abdel-Samad\",\"doi\":\"10.1109/ISWCS.2007.4392321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present and compare several low-complexity approaches for soft-output equalization using reduced-state sequence estimation (RSSE) for EDGE. The proposed approaches require only a forward equalization pass and have the same complexity as hard-output RSSE equalization. However, they offer performance gains close to more complicated approaches that require both forward and backward passes.\",\"PeriodicalId\":261480,\"journal\":{\"name\":\"2007 4th International Symposium on Wireless Communication Systems\",\"volume\":\"253 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 4th International Symposium on Wireless Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2007.4392321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 4th International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2007.4392321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-Complexity Soft-Output Reduced-State Equalization for EDGE
In this paper we present and compare several low-complexity approaches for soft-output equalization using reduced-state sequence estimation (RSSE) for EDGE. The proposed approaches require only a forward equalization pass and have the same complexity as hard-output RSSE equalization. However, they offer performance gains close to more complicated approaches that require both forward and backward passes.
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