{"title":"频率和幅值未知的双频信号的迭代算法","authors":"Siyu Liu, Guanglei Song, F. Ding","doi":"10.1109/ICMIC.2018.8529908","DOIUrl":null,"url":null,"abstract":"A new iterative parameter estimation algorithm is proposed to estimate all parameters of dual-frequency signals including the unknown amplitudes, frequencies and phases. The observation data of the signals are disturbed by stochastic noise. The key is that the signal model is a highly nonlinear function in regard to the frequencies and phases. A gradient-based iterative algorithm is presented to compare the algorithm performance. The performance of the proposed method is tested by simulation.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Iterative Algorithm for Dual-Frequency Signals With Unknown Frequencies and Amplitudes\",\"authors\":\"Siyu Liu, Guanglei Song, F. Ding\",\"doi\":\"10.1109/ICMIC.2018.8529908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new iterative parameter estimation algorithm is proposed to estimate all parameters of dual-frequency signals including the unknown amplitudes, frequencies and phases. The observation data of the signals are disturbed by stochastic noise. The key is that the signal model is a highly nonlinear function in regard to the frequencies and phases. A gradient-based iterative algorithm is presented to compare the algorithm performance. The performance of the proposed method is tested by simulation.\",\"PeriodicalId\":262938,\"journal\":{\"name\":\"2018 10th International Conference on Modelling, Identification and Control (ICMIC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Conference on Modelling, Identification and Control (ICMIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMIC.2018.8529908\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIC.2018.8529908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Iterative Algorithm for Dual-Frequency Signals With Unknown Frequencies and Amplitudes
A new iterative parameter estimation algorithm is proposed to estimate all parameters of dual-frequency signals including the unknown amplitudes, frequencies and phases. The observation data of the signals are disturbed by stochastic noise. The key is that the signal model is a highly nonlinear function in regard to the frequencies and phases. A gradient-based iterative algorithm is presented to compare the algorithm performance. The performance of the proposed method is tested by simulation.