{"title":"基于HOS的雷达目标测速","authors":"R. D. Pierce","doi":"10.1109/HOST.1993.264575","DOIUrl":null,"url":null,"abstract":"The application of higher-order statistics (HOS) to velocity measurements of radar targets takes advantage of the HOS characteristic that fourth-order estimators can be unbiased by Gaussian noise. Using data from a stepped-frequency, coherent radar, the samples are coherently averaged in the trispectrum or in slices of the trispectrum. The ratio of the averages produces a transfer function where phase is related to velocity. The HOS method is compared to a classical, second order method similar to cross-spectrum analysis. An example using real radar data shows a case where the classical method does not work.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Velocity measurement of radar targets using HOS\",\"authors\":\"R. D. Pierce\",\"doi\":\"10.1109/HOST.1993.264575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of higher-order statistics (HOS) to velocity measurements of radar targets takes advantage of the HOS characteristic that fourth-order estimators can be unbiased by Gaussian noise. Using data from a stepped-frequency, coherent radar, the samples are coherently averaged in the trispectrum or in slices of the trispectrum. The ratio of the averages produces a transfer function where phase is related to velocity. The HOS method is compared to a classical, second order method similar to cross-spectrum analysis. An example using real radar data shows a case where the classical method does not work.<<ETX>>\",\"PeriodicalId\":439030,\"journal\":{\"name\":\"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HOST.1993.264575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1993.264575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The application of higher-order statistics (HOS) to velocity measurements of radar targets takes advantage of the HOS characteristic that fourth-order estimators can be unbiased by Gaussian noise. Using data from a stepped-frequency, coherent radar, the samples are coherently averaged in the trispectrum or in slices of the trispectrum. The ratio of the averages produces a transfer function where phase is related to velocity. The HOS method is compared to a classical, second order method similar to cross-spectrum analysis. An example using real radar data shows a case where the classical method does not work.<>