{"title":"采用信号子空间分解法提取谐波信号","authors":"Dengwei Wang, Yinghua Lu","doi":"10.1109/ITW2.2006.323755","DOIUrl":null,"url":null,"abstract":"The subspace decomposition method for extracting harmonic character is discussed. The theory of the cross-correlation matrix based MUSIC method in Gaussian white noise is analysed. A method of subspace decomposition is proposed for the purpose of suppressing noise interference and increasing the ability of recognizing targets and multiple signal classification, an algorithm of harmonic retrieval, was introduced to extract harmonic frequencies. Then the frequency of harmonics is estimated by setting threshold in MUSIC power spectrum curve. The simulation proves the method is correct and feasible","PeriodicalId":299513,"journal":{"name":"2006 IEEE Information Theory Workshop - ITW '06 Chengdu","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The signal subspace decomposition method for extracting harmonic signal\",\"authors\":\"Dengwei Wang, Yinghua Lu\",\"doi\":\"10.1109/ITW2.2006.323755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The subspace decomposition method for extracting harmonic character is discussed. The theory of the cross-correlation matrix based MUSIC method in Gaussian white noise is analysed. A method of subspace decomposition is proposed for the purpose of suppressing noise interference and increasing the ability of recognizing targets and multiple signal classification, an algorithm of harmonic retrieval, was introduced to extract harmonic frequencies. Then the frequency of harmonics is estimated by setting threshold in MUSIC power spectrum curve. The simulation proves the method is correct and feasible\",\"PeriodicalId\":299513,\"journal\":{\"name\":\"2006 IEEE Information Theory Workshop - ITW '06 Chengdu\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Information Theory Workshop - ITW '06 Chengdu\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITW2.2006.323755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Information Theory Workshop - ITW '06 Chengdu","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITW2.2006.323755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The signal subspace decomposition method for extracting harmonic signal
The subspace decomposition method for extracting harmonic character is discussed. The theory of the cross-correlation matrix based MUSIC method in Gaussian white noise is analysed. A method of subspace decomposition is proposed for the purpose of suppressing noise interference and increasing the ability of recognizing targets and multiple signal classification, an algorithm of harmonic retrieval, was introduced to extract harmonic frequencies. Then the frequency of harmonics is estimated by setting threshold in MUSIC power spectrum curve. The simulation proves the method is correct and feasible
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