基于区间误差法的双音频率估计阈值效应分析

En Yuan, Peng Liu, Bing Xu, Wenyu Zhang, Yongfen Wu, Yanqin Tang
{"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}
引用次数: 0

摘要

双音信号广泛应用于测距。双音信号频率估计是其应用中首先要解决的问题。双音信号频率估计的最大似然估计存在阈值效应,MUSIC算法和最大期望算法的阈值都接近最大似然估计。预测阈值效应的阈值对算法的实际应用具有重要意义。本文利用区间误差法推导了双音频率估计中最大似然估计的近似均方误差(MSE)。仿真结果表明,本文导出的近似MSE可以很好地分析和预测MUSIC和ME算法的阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信