{"title":"正弦信号的频率估计","authors":"Pushpendra Singh, Amit Singhal","doi":"10.1109/ICSPCOM.2016.7980599","DOIUrl":null,"url":null,"abstract":"In this paper, we present a simple and intuitive approach to estimate the frequency of a single-tone signal in the presence of noise. We obtain three optimum discrete-time Fourier transform (DTFT) points for application of non-polynomial parabola interpolation to determine the frequency corresponding to its maxima. The results indicate that high performance, in terms of root-mean-square error (RMSE) values comparable to Cramer-Rao lower bound (CRLB), can be achieved over a large range of signal to noise ratio (SNR).","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Frequency estimation of a sinusoidal signal\",\"authors\":\"Pushpendra Singh, Amit Singhal\",\"doi\":\"10.1109/ICSPCOM.2016.7980599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a simple and intuitive approach to estimate the frequency of a single-tone signal in the presence of noise. We obtain three optimum discrete-time Fourier transform (DTFT) points for application of non-polynomial parabola interpolation to determine the frequency corresponding to its maxima. The results indicate that high performance, in terms of root-mean-square error (RMSE) values comparable to Cramer-Rao lower bound (CRLB), can be achieved over a large range of signal to noise ratio (SNR).\",\"PeriodicalId\":213713,\"journal\":{\"name\":\"2016 International Conference on Signal Processing and Communication (ICSC)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Signal Processing and Communication (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCOM.2016.7980599\",\"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 Signal Processing and Communication (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCOM.2016.7980599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we present a simple and intuitive approach to estimate the frequency of a single-tone signal in the presence of noise. We obtain three optimum discrete-time Fourier transform (DTFT) points for application of non-polynomial parabola interpolation to determine the frequency corresponding to its maxima. The results indicate that high performance, in terms of root-mean-square error (RMSE) values comparable to Cramer-Rao lower bound (CRLB), can be achieved over a large range of signal to noise ratio (SNR).
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