{"title":"一种系统辨识的自适应迭代算法","authors":"Huan Li, Chengsheng Pan","doi":"10.1109/ICINIS.2010.27","DOIUrl":null,"url":null,"abstract":"According to the nonlinear amplification characteristic with memory effection of power amplifier (PA) inWCDMA systems, digital predistorter model is established and an identification algorithm for Wiener PA model with memoryis proposed. The method can avoid the local convergence problem of NG algorithm effectively. Moreover it has a very good suppression of signal spectral regrowth. Theoretical analysis and computer simulation verified the effectiveness and practicability of the algorithm.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Adaptive Iterative Algorthm for System Identification\",\"authors\":\"Huan Li, Chengsheng Pan\",\"doi\":\"10.1109/ICINIS.2010.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the nonlinear amplification characteristic with memory effection of power amplifier (PA) inWCDMA systems, digital predistorter model is established and an identification algorithm for Wiener PA model with memoryis proposed. The method can avoid the local convergence problem of NG algorithm effectively. Moreover it has a very good suppression of signal spectral regrowth. Theoretical analysis and computer simulation verified the effectiveness and practicability of the algorithm.\",\"PeriodicalId\":319379,\"journal\":{\"name\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Conference on Intelligent Networks and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINIS.2010.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINIS.2010.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Adaptive Iterative Algorthm for System Identification
According to the nonlinear amplification characteristic with memory effection of power amplifier (PA) inWCDMA systems, digital predistorter model is established and an identification algorithm for Wiener PA model with memoryis proposed. The method can avoid the local convergence problem of NG algorithm effectively. Moreover it has a very good suppression of signal spectral regrowth. Theoretical analysis and computer simulation verified the effectiveness and practicability of the algorithm.
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