{"title":"基于记忆效应的数字预失真功率放大器线性化","authors":"A. Barahimi, S. Mirzakuchaki, Saeid Karami","doi":"10.1109/ICCEE.2009.141","DOIUrl":null,"url":null,"abstract":"Power amplifiers require linearization in order to reduce adjacent inter-modulation distortion without losing efficiency. Digital predistortion is a cost effective method to achieve this goal and it needs an accurate model of the amplifier. Most of the amplifier models are based on memoryless modeling. This kind of modeling is simple but it’s not accurate enough if linearization is important; and also for wide band modulations like QAM, we should consider the memory effects of power amplifiers.","PeriodicalId":343870,"journal":{"name":"2009 Second International Conference on Computer and Electrical Engineering","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power Amplifiers Linearization Based on Digital Predistortion with Memory Effects\",\"authors\":\"A. Barahimi, S. Mirzakuchaki, Saeid Karami\",\"doi\":\"10.1109/ICCEE.2009.141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power amplifiers require linearization in order to reduce adjacent inter-modulation distortion without losing efficiency. Digital predistortion is a cost effective method to achieve this goal and it needs an accurate model of the amplifier. Most of the amplifier models are based on memoryless modeling. This kind of modeling is simple but it’s not accurate enough if linearization is important; and also for wide band modulations like QAM, we should consider the memory effects of power amplifiers.\",\"PeriodicalId\":343870,\"journal\":{\"name\":\"2009 Second International Conference on Computer and Electrical Engineering\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Conference on Computer and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEE.2009.141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Conference on Computer and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEE.2009.141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power Amplifiers Linearization Based on Digital Predistortion with Memory Effects
Power amplifiers require linearization in order to reduce adjacent inter-modulation distortion without losing efficiency. Digital predistortion is a cost effective method to achieve this goal and it needs an accurate model of the amplifier. Most of the amplifier models are based on memoryless modeling. This kind of modeling is simple but it’s not accurate enough if linearization is important; and also for wide band modulations like QAM, we should consider the memory effects of power amplifiers.
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