{"title":"直接转换接收机中信道因素联合估计和OFDM信号失真问题中的非线性滤波","authors":"N. E. Poborchaya","doi":"10.1109/SYNCHROINFO.2019.8814291","DOIUrl":null,"url":null,"abstract":"A combined algorithm for joint estimation the distortions of the OFDM signal and channel factors is proposed in the article. The algorithm is based on two procedures: 1) estimating the generalized channel factors using a polynomial spline approximation, the least squares method and finding the signal distortion estimates for them, 2) a nonlinear filtering algorithm to refine the parameters values such as DC components and frequency offset. The algorithm operates on two reference OFDM symbols under conditions of a priori uncertainty regarding phase noise and observation noise, and also allows to increase noise immunity and reduce computational complexity, as compared with the case of using only procedure 1).","PeriodicalId":363848,"journal":{"name":"2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Nonlinear Filtration in the Problem of Joint Estimation of Channel Factors and OFDM Signal Distortion Arising in Direct Conversion Receiver\",\"authors\":\"N. E. Poborchaya\",\"doi\":\"10.1109/SYNCHROINFO.2019.8814291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A combined algorithm for joint estimation the distortions of the OFDM signal and channel factors is proposed in the article. The algorithm is based on two procedures: 1) estimating the generalized channel factors using a polynomial spline approximation, the least squares method and finding the signal distortion estimates for them, 2) a nonlinear filtering algorithm to refine the parameters values such as DC components and frequency offset. The algorithm operates on two reference OFDM symbols under conditions of a priori uncertainty regarding phase noise and observation noise, and also allows to increase noise immunity and reduce computational complexity, as compared with the case of using only procedure 1).\",\"PeriodicalId\":363848,\"journal\":{\"name\":\"2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNCHROINFO.2019.8814291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNCHROINFO.2019.8814291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlinear Filtration in the Problem of Joint Estimation of Channel Factors and OFDM Signal Distortion Arising in Direct Conversion Receiver
A combined algorithm for joint estimation the distortions of the OFDM signal and channel factors is proposed in the article. The algorithm is based on two procedures: 1) estimating the generalized channel factors using a polynomial spline approximation, the least squares method and finding the signal distortion estimates for them, 2) a nonlinear filtering algorithm to refine the parameters values such as DC components and frequency offset. The algorithm operates on two reference OFDM symbols under conditions of a priori uncertainty regarding phase noise and observation noise, and also allows to increase noise immunity and reduce computational complexity, as compared with the case of using only procedure 1).