{"title":"基于小波的频率估计方法在移动卫星通信中的应用","authors":"Liu Gang, Li Bing, R. M. Jayasuriya, Ng Chee Wei","doi":"10.1109/WDD.2006.8321428","DOIUrl":null,"url":null,"abstract":"A wavelet-based frequency estimator is proposed and applied in the DOA estimation of mobile satellite communication. This method is used to estimate the frequency of the satellite beacon signal so that a very narrow low pass filter can be implemented to improve the signal noise ratio, and a more accurate DOA can be obtained after processing this higher SNR signal.","PeriodicalId":339522,"journal":{"name":"2006 International Waveform Diversity & Design Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of a wavelet-based frequency estimation approach for mobile satellite communication\",\"authors\":\"Liu Gang, Li Bing, R. M. Jayasuriya, Ng Chee Wei\",\"doi\":\"10.1109/WDD.2006.8321428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A wavelet-based frequency estimator is proposed and applied in the DOA estimation of mobile satellite communication. This method is used to estimate the frequency of the satellite beacon signal so that a very narrow low pass filter can be implemented to improve the signal noise ratio, and a more accurate DOA can be obtained after processing this higher SNR signal.\",\"PeriodicalId\":339522,\"journal\":{\"name\":\"2006 International Waveform Diversity & Design Conference\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Waveform Diversity & Design Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WDD.2006.8321428\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Waveform Diversity & Design Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WDD.2006.8321428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of a wavelet-based frequency estimation approach for mobile satellite communication
A wavelet-based frequency estimator is proposed and applied in the DOA estimation of mobile satellite communication. This method is used to estimate the frequency of the satellite beacon signal so that a very narrow low pass filter can be implemented to improve the signal noise ratio, and a more accurate DOA can be obtained after processing this higher SNR signal.
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