Zhou-hua Zhu, Lu Shun-jun, Zhang Er-yang, L. Yaomin
{"title":"LFM信号的欠定DOA估计","authors":"Zhou-hua Zhu, Lu Shun-jun, Zhang Er-yang, L. Yaomin","doi":"10.1109/IMCCC.2012.209","DOIUrl":null,"url":null,"abstract":"A method is proposed to separate received LFM signals on underdetermined hypothesis. In which the sensors is less then the signals to be separated. As LFM signal belongs to nonstationary signal, the proposed method is based on Time Frequency Distribution (TFD) analysis. Through suppressing the cross term of the TFD, auto term become prominent. A rotation way utilizing the auto term points is presented, by which the TFD area of each LFM signal is classified. Using the STFD matrices corresponding to the auto term points, the Direction Of Arrival (DOA) of each LFM signal can be estimated individually. Through simulation, it is proved that the proposed method is effective.","PeriodicalId":394548,"journal":{"name":"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Underdetermined DOA Estimation of LFM Signals\",\"authors\":\"Zhou-hua Zhu, Lu Shun-jun, Zhang Er-yang, L. Yaomin\",\"doi\":\"10.1109/IMCCC.2012.209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is proposed to separate received LFM signals on underdetermined hypothesis. In which the sensors is less then the signals to be separated. As LFM signal belongs to nonstationary signal, the proposed method is based on Time Frequency Distribution (TFD) analysis. Through suppressing the cross term of the TFD, auto term become prominent. A rotation way utilizing the auto term points is presented, by which the TFD area of each LFM signal is classified. Using the STFD matrices corresponding to the auto term points, the Direction Of Arrival (DOA) of each LFM signal can be estimated individually. Through simulation, it is proved that the proposed method is effective.\",\"PeriodicalId\":394548,\"journal\":{\"name\":\"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCCC.2012.209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2012.209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method is proposed to separate received LFM signals on underdetermined hypothesis. In which the sensors is less then the signals to be separated. As LFM signal belongs to nonstationary signal, the proposed method is based on Time Frequency Distribution (TFD) analysis. Through suppressing the cross term of the TFD, auto term become prominent. A rotation way utilizing the auto term points is presented, by which the TFD area of each LFM signal is classified. Using the STFD matrices corresponding to the auto term points, the Direction Of Arrival (DOA) of each LFM signal can be estimated individually. Through simulation, it is proved that the proposed method is effective.