{"title":"几种自适应卡尔曼均衡器的结构与性能","authors":"P. Grohan, S. Marcos","doi":"10.1109/DSPWS.1996.555560","DOIUrl":null,"url":null,"abstract":"The paper revisits the problem of equalization with an IIR filter. The use of the discrete Kalman observer is adopted to perform the IIR equalization and to circumvent the minimum phase spectral factorization. A unified study of adaptive equalizers based on the Kalman observer is presented, a novel adaptive Kalman equalizer scheme is discussed and finally, a performance comparison is given by computer simulations.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Structures and performances of several adaptive Kalman equalizers\",\"authors\":\"P. Grohan, S. Marcos\",\"doi\":\"10.1109/DSPWS.1996.555560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper revisits the problem of equalization with an IIR filter. The use of the discrete Kalman observer is adopted to perform the IIR equalization and to circumvent the minimum phase spectral factorization. A unified study of adaptive equalizers based on the Kalman observer is presented, a novel adaptive Kalman equalizer scheme is discussed and finally, a performance comparison is given by computer simulations.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Structures and performances of several adaptive Kalman equalizers
The paper revisits the problem of equalization with an IIR filter. The use of the discrete Kalman observer is adopted to perform the IIR equalization and to circumvent the minimum phase spectral factorization. A unified study of adaptive equalizers based on the Kalman observer is presented, a novel adaptive Kalman equalizer scheme is discussed and finally, a performance comparison is given by computer simulations.