{"title":"一种基于确定性退火过程的迭代均衡器","authors":"M. Pourmir, A. Berthet, F.S. Agathe","doi":"10.1109/SPAWC.2006.346414","DOIUrl":null,"url":null,"abstract":"We describe a new iterative equalizer able to approach the maximum likelihood sequence estimation (MLSE) performance with manageable complexity. This algorithm takes the general form of a continuation or deterministic annealing process. Starting from an exact formulation of the algorithm, we derive a series of approximations, leading to a final structure which has some similarities with the conventional block-iterative minimum mean square error (MMSE) equalizer","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Iterative Equalizer based on a Deterministic Annealing Process\",\"authors\":\"M. Pourmir, A. Berthet, F.S. Agathe\",\"doi\":\"10.1109/SPAWC.2006.346414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a new iterative equalizer able to approach the maximum likelihood sequence estimation (MLSE) performance with manageable complexity. This algorithm takes the general form of a continuation or deterministic annealing process. Starting from an exact formulation of the algorithm, we derive a series of approximations, leading to a final structure which has some similarities with the conventional block-iterative minimum mean square error (MMSE) equalizer\",\"PeriodicalId\":414942,\"journal\":{\"name\":\"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2006.346414\",\"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.2006.346414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Iterative Equalizer based on a Deterministic Annealing Process
We describe a new iterative equalizer able to approach the maximum likelihood sequence estimation (MLSE) performance with manageable complexity. This algorithm takes the general form of a continuation or deterministic annealing process. Starting from an exact formulation of the algorithm, we derive a series of approximations, leading to a final structure which has some similarities with the conventional block-iterative minimum mean square error (MMSE) equalizer