{"title":"使用改进的LMMSE算法进行时空解码","authors":"M. Sandell","doi":"10.1109/ISWCS.2004.1407265","DOIUrl":null,"url":null,"abstract":"Iterative decoding has been proposed to improve the performance of multiple-input, multiple-output (MIMO) systems, where extrinsic information is passed between the space-time decoder and the channel decoder. A linear minimum mean-squared error (LMMSE) estimator accepting a priori information has been proposed as an equaliser for single antenna systems and in this paper we discuss its use as a space-time decoder. We also derive a novel modification, called the self-iterating LMMSE decoder, and present simulation results. It is shown that this modified LMMSE decoder can achieve huge gains over the conventional LMMSE decoder. Also both LMMSE decoders can supply a significant gain with iterative decoding, and with enough diversity and iterations, their performance approach that of the optimal decoder.","PeriodicalId":122977,"journal":{"name":"1st International Symposium onWireless Communication Systems, 2004.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Space-time decoding using a modified LMMSE algorithm\",\"authors\":\"M. Sandell\",\"doi\":\"10.1109/ISWCS.2004.1407265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Iterative decoding has been proposed to improve the performance of multiple-input, multiple-output (MIMO) systems, where extrinsic information is passed between the space-time decoder and the channel decoder. A linear minimum mean-squared error (LMMSE) estimator accepting a priori information has been proposed as an equaliser for single antenna systems and in this paper we discuss its use as a space-time decoder. We also derive a novel modification, called the self-iterating LMMSE decoder, and present simulation results. It is shown that this modified LMMSE decoder can achieve huge gains over the conventional LMMSE decoder. Also both LMMSE decoders can supply a significant gain with iterative decoding, and with enough diversity and iterations, their performance approach that of the optimal decoder.\",\"PeriodicalId\":122977,\"journal\":{\"name\":\"1st International Symposium onWireless Communication Systems, 2004.\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1st International Symposium onWireless Communication Systems, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2004.1407265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st International Symposium onWireless Communication Systems, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2004.1407265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Space-time decoding using a modified LMMSE algorithm
Iterative decoding has been proposed to improve the performance of multiple-input, multiple-output (MIMO) systems, where extrinsic information is passed between the space-time decoder and the channel decoder. A linear minimum mean-squared error (LMMSE) estimator accepting a priori information has been proposed as an equaliser for single antenna systems and in this paper we discuss its use as a space-time decoder. We also derive a novel modification, called the self-iterating LMMSE decoder, and present simulation results. It is shown that this modified LMMSE decoder can achieve huge gains over the conventional LMMSE decoder. Also both LMMSE decoders can supply a significant gain with iterative decoding, and with enough diversity and iterations, their performance approach that of the optimal decoder.