{"title":"两个同频16QAM信号的非数据辅助频偏估计算法","authors":"Peiqiang Wang, Kai Liu","doi":"10.1109/ICALIP.2016.7846586","DOIUrl":null,"url":null,"abstract":"For single-channel of 16QAM mixed signals, a non-data-aided (NDA) frequency offset estimation (FOE) algorithm is proposed. The frequency offset of signals after down conversion affects the phase of the signal and make the signal rotate so that the extremum of the in-phase components and the quadrature components of signals are changed. Calculation of the frequency offset by optimizing the object functions which is obtained from the extremums of the I-channel signals and the Q-channel signals, and the optimized process is accomplished by utilizing hierarchical search. This method does not require any prior information and it is insensitive for unknown parameters of mixed signals, for example, amplitude and timing offset. The simulation-results verify the effectiveness and practicality of the proposed algorithm.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A non-data-aided frequency offset estimation algorithm of two co-frequency 16QAM signals\",\"authors\":\"Peiqiang Wang, Kai Liu\",\"doi\":\"10.1109/ICALIP.2016.7846586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For single-channel of 16QAM mixed signals, a non-data-aided (NDA) frequency offset estimation (FOE) algorithm is proposed. The frequency offset of signals after down conversion affects the phase of the signal and make the signal rotate so that the extremum of the in-phase components and the quadrature components of signals are changed. Calculation of the frequency offset by optimizing the object functions which is obtained from the extremums of the I-channel signals and the Q-channel signals, and the optimized process is accomplished by utilizing hierarchical search. This method does not require any prior information and it is insensitive for unknown parameters of mixed signals, for example, amplitude and timing offset. The simulation-results verify the effectiveness and practicality of the proposed algorithm.\",\"PeriodicalId\":184170,\"journal\":{\"name\":\"2016 International Conference on Audio, Language and Image Processing (ICALIP)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Audio, Language and Image Processing (ICALIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALIP.2016.7846586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALIP.2016.7846586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A non-data-aided frequency offset estimation algorithm of two co-frequency 16QAM signals
For single-channel of 16QAM mixed signals, a non-data-aided (NDA) frequency offset estimation (FOE) algorithm is proposed. The frequency offset of signals after down conversion affects the phase of the signal and make the signal rotate so that the extremum of the in-phase components and the quadrature components of signals are changed. Calculation of the frequency offset by optimizing the object functions which is obtained from the extremums of the I-channel signals and the Q-channel signals, and the optimized process is accomplished by utilizing hierarchical search. This method does not require any prior information and it is insensitive for unknown parameters of mixed signals, for example, amplitude and timing offset. The simulation-results verify the effectiveness and practicality of the proposed algorithm.