{"title":"基于瞬时相位的BPSK信号信噪比估计","authors":"Zhang Xiao-yong, Luo Lai-yuan","doi":"10.1109/ICICISYS.2009.5357735","DOIUrl":null,"url":null,"abstract":"A novel algorithm for Signal-power-to-Noise-power ratio (SNR) estimation in AWGN channel is proposed in this paper. The relationship between SNR and the distribution of instantaneous phase (DIP) of BPSK signal is investigated, and the SNR estimator is constructed according to this relationship. Correlation coefficients are used to judge the similarity of the DIP between the theoretical one and the one of the received signal. Accurate symbol synchronization, which is the essential prerequisite for most SNR estimators, is not needed for the estimator proposed in this paper. Bias and root-mean-squared error (RMSE) are used to evaluate the performance of the estimator. The results of the Monte Carlo computer simulations show the credible performances of the estimator.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"27 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Instantaneous phases based SNR estimator for BPSK signals\",\"authors\":\"Zhang Xiao-yong, Luo Lai-yuan\",\"doi\":\"10.1109/ICICISYS.2009.5357735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel algorithm for Signal-power-to-Noise-power ratio (SNR) estimation in AWGN channel is proposed in this paper. The relationship between SNR and the distribution of instantaneous phase (DIP) of BPSK signal is investigated, and the SNR estimator is constructed according to this relationship. Correlation coefficients are used to judge the similarity of the DIP between the theoretical one and the one of the received signal. Accurate symbol synchronization, which is the essential prerequisite for most SNR estimators, is not needed for the estimator proposed in this paper. Bias and root-mean-squared error (RMSE) are used to evaluate the performance of the estimator. The results of the Monte Carlo computer simulations show the credible performances of the estimator.\",\"PeriodicalId\":206575,\"journal\":{\"name\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"volume\":\"27 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICISYS.2009.5357735\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2009.5357735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Instantaneous phases based SNR estimator for BPSK signals
A novel algorithm for Signal-power-to-Noise-power ratio (SNR) estimation in AWGN channel is proposed in this paper. The relationship between SNR and the distribution of instantaneous phase (DIP) of BPSK signal is investigated, and the SNR estimator is constructed according to this relationship. Correlation coefficients are used to judge the similarity of the DIP between the theoretical one and the one of the received signal. Accurate symbol synchronization, which is the essential prerequisite for most SNR estimators, is not needed for the estimator proposed in this paper. Bias and root-mean-squared error (RMSE) are used to evaluate the performance of the estimator. The results of the Monte Carlo computer simulations show the credible performances of the estimator.
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