{"title":"二进制CPM信号的非数据辅助频偏估计","authors":"Yang Wang, Shilei Zhou","doi":"10.1109/ICCT.2017.8359649","DOIUrl":null,"url":null,"abstract":"Frequency offset estimation for binary continuous phase modulation (CPM) signals is investigated in this paper and a feedforward non-data-aided (NDA) and non-timing-aided frequency offset estimation algorithm is proposed. In the algorithm a new autocorrelation function is used for frequency estimation. The delay value in the function is carefully selected depending on the parameters of the CPM signal. And then the frequency offset is estimated based on the integration of the autocorrelation function which is independent of the timing delay. Simulation results show that the proposed algorithm performs well for CPM signals with higher modulation index and has better performance than the existing feedforward NDA and non-timing-aided frequency estimation algorithm. Additionally, the performance gain is more significant when the signal-to-noise ratio gets higher.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Non-data-aided frequency offset estimation for binary CPM signals\",\"authors\":\"Yang Wang, Shilei Zhou\",\"doi\":\"10.1109/ICCT.2017.8359649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Frequency offset estimation for binary continuous phase modulation (CPM) signals is investigated in this paper and a feedforward non-data-aided (NDA) and non-timing-aided frequency offset estimation algorithm is proposed. In the algorithm a new autocorrelation function is used for frequency estimation. The delay value in the function is carefully selected depending on the parameters of the CPM signal. And then the frequency offset is estimated based on the integration of the autocorrelation function which is independent of the timing delay. Simulation results show that the proposed algorithm performs well for CPM signals with higher modulation index and has better performance than the existing feedforward NDA and non-timing-aided frequency estimation algorithm. Additionally, the performance gain is more significant when the signal-to-noise ratio gets higher.\",\"PeriodicalId\":199874,\"journal\":{\"name\":\"2017 IEEE 17th International Conference on Communication Technology (ICCT)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 17th International Conference on Communication Technology (ICCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCT.2017.8359649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2017.8359649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-data-aided frequency offset estimation for binary CPM signals
Frequency offset estimation for binary continuous phase modulation (CPM) signals is investigated in this paper and a feedforward non-data-aided (NDA) and non-timing-aided frequency offset estimation algorithm is proposed. In the algorithm a new autocorrelation function is used for frequency estimation. The delay value in the function is carefully selected depending on the parameters of the CPM signal. And then the frequency offset is estimated based on the integration of the autocorrelation function which is independent of the timing delay. Simulation results show that the proposed algorithm performs well for CPM signals with higher modulation index and has better performance than the existing feedforward NDA and non-timing-aided frequency estimation algorithm. Additionally, the performance gain is more significant when the signal-to-noise ratio gets higher.