{"title":"基于Toeplitz-Hankel分解的瞬态信号到达方向估计","authors":"E. Haberman, L. Griffiths","doi":"10.1109/ICASSP.1988.197137","DOIUrl":null,"url":null,"abstract":"A method is described which can improve the direction-of-arrival estimation when the signal is nonstationary but of a known form. This is the case, e.g. in an active sonar system, when a known waveform is transmitted and the reflections are measured by an array of hydrophones. It is shown that for a class of signals, the knowledge about the signal can be used to improve the resolution in azimuth estimation.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toeplitz-Hankel decomposition for direction of arrival estimation using transient signals\",\"authors\":\"E. Haberman, L. Griffiths\",\"doi\":\"10.1109/ICASSP.1988.197137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is described which can improve the direction-of-arrival estimation when the signal is nonstationary but of a known form. This is the case, e.g. in an active sonar system, when a known waveform is transmitted and the reflections are measured by an array of hydrophones. It is shown that for a class of signals, the knowledge about the signal can be used to improve the resolution in azimuth estimation.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.197137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.197137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toeplitz-Hankel decomposition for direction of arrival estimation using transient signals
A method is described which can improve the direction-of-arrival estimation when the signal is nonstationary but of a known form. This is the case, e.g. in an active sonar system, when a known waveform is transmitted and the reflections are measured by an array of hydrophones. It is shown that for a class of signals, the knowledge about the signal can be used to improve the resolution in azimuth estimation.<>