{"title":"基于区间误差法的双音频率估计阈值效应分析","authors":"En Yuan, Peng Liu, Bing Xu, Wenyu Zhang, Yongfen Wu, Yanqin Tang","doi":"10.1109/CICN56167.2022.10008251","DOIUrl":null,"url":null,"abstract":"Dual-tone signals are widely used in ranging. Dual-tone signal frequency estimation is the primary problem to be solved in its application. There is a threshold effect on the maximum likelihood estimator (MLE) for frequency estimation of dual-tone signals, and the thresholds of MUSIC and the maximum expectation (EM) algorithm are both close to the MLE. The threshold for predicting the threshold effect is of great significance to the practical application of the algorithm. In this paper, the approximate mean square error (MSE) of the MLE for dual-tone frequency estimation is derived using the method of interval errors. The simulation results show that the approximate MSE derived in this paper can well analyze and predict the threshold of MUSIC and the ME algorithm.","PeriodicalId":287589,"journal":{"name":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Threshold Effect of Dual-tone Frequency Estimation Based on Method of Interval Errors\",\"authors\":\"En Yuan, Peng Liu, Bing Xu, Wenyu Zhang, Yongfen Wu, Yanqin Tang\",\"doi\":\"10.1109/CICN56167.2022.10008251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dual-tone signals are widely used in ranging. Dual-tone signal frequency estimation is the primary problem to be solved in its application. There is a threshold effect on the maximum likelihood estimator (MLE) for frequency estimation of dual-tone signals, and the thresholds of MUSIC and the maximum expectation (EM) algorithm are both close to the MLE. The threshold for predicting the threshold effect is of great significance to the practical application of the algorithm. In this paper, the approximate mean square error (MSE) of the MLE for dual-tone frequency estimation is derived using the method of interval errors. The simulation results show that the approximate MSE derived in this paper can well analyze and predict the threshold of MUSIC and the ME algorithm.\",\"PeriodicalId\":287589,\"journal\":{\"name\":\"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN56167.2022.10008251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN56167.2022.10008251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Threshold Effect of Dual-tone Frequency Estimation Based on Method of Interval Errors
Dual-tone signals are widely used in ranging. Dual-tone signal frequency estimation is the primary problem to be solved in its application. There is a threshold effect on the maximum likelihood estimator (MLE) for frequency estimation of dual-tone signals, and the thresholds of MUSIC and the maximum expectation (EM) algorithm are both close to the MLE. The threshold for predicting the threshold effect is of great significance to the practical application of the algorithm. In this paper, the approximate mean square error (MSE) of the MLE for dual-tone frequency estimation is derived using the method of interval errors. The simulation results show that the approximate MSE derived in this paper can well analyze and predict the threshold of MUSIC and the ME algorithm.