{"title":"一种基于双谱的快速时延估计算法","authors":"Wang Jinlin, Li Qihu","doi":"10.1109/CICCAS.1991.184357","DOIUrl":null,"url":null,"abstract":"Time delay estimation has been a problem of considerable practice interest in sonar design for a long time. The conventional estimation, GCC processor, has poor performance when the signal to noise ratio is small. C.L. Nikias and others show that the performance of estimation can be improved if higher-order spectra(polyspectra) are used. But not only conventional bispectrum methods, but also parametric bispectrum methods are difficult to implement, due to complication of calculation, such as: matrix multiplication and inversion. In this paper, bispectra based time delay estimator, which has some genuine advantages in implementation, is developed by using the principle of generalized cross-spectra method proposed by Li, Qihu (1984).<<ETX>>","PeriodicalId":119051,"journal":{"name":"China., 1991 International Conference on Circuits and Systems","volume":"165 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A fast algorithm for bispectra based time delay estimation\",\"authors\":\"Wang Jinlin, Li Qihu\",\"doi\":\"10.1109/CICCAS.1991.184357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time delay estimation has been a problem of considerable practice interest in sonar design for a long time. The conventional estimation, GCC processor, has poor performance when the signal to noise ratio is small. C.L. Nikias and others show that the performance of estimation can be improved if higher-order spectra(polyspectra) are used. But not only conventional bispectrum methods, but also parametric bispectrum methods are difficult to implement, due to complication of calculation, such as: matrix multiplication and inversion. In this paper, bispectra based time delay estimator, which has some genuine advantages in implementation, is developed by using the principle of generalized cross-spectra method proposed by Li, Qihu (1984).<<ETX>>\",\"PeriodicalId\":119051,\"journal\":{\"name\":\"China., 1991 International Conference on Circuits and Systems\",\"volume\":\"165 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China., 1991 International Conference on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICCAS.1991.184357\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China., 1991 International Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICCAS.1991.184357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast algorithm for bispectra based time delay estimation
Time delay estimation has been a problem of considerable practice interest in sonar design for a long time. The conventional estimation, GCC processor, has poor performance when the signal to noise ratio is small. C.L. Nikias and others show that the performance of estimation can be improved if higher-order spectra(polyspectra) are used. But not only conventional bispectrum methods, but also parametric bispectrum methods are difficult to implement, due to complication of calculation, such as: matrix multiplication and inversion. In this paper, bispectra based time delay estimator, which has some genuine advantages in implementation, is developed by using the principle of generalized cross-spectra method proposed by Li, Qihu (1984).<>