{"title":"利用HOS探测雷达目标","authors":"R. D. Pierce","doi":"10.1109/HOST.1993.264545","DOIUrl":null,"url":null,"abstract":"The application of higher-order statistics (HOS) to the detection of radar targets takes advantage of the HOS characteristic that allows the test statistics to be unbiased by Gaussian noise. To make use of this characteristic using data from a coherent radar, the samples from the radar's synchronous detector are coherently averaged in a formulation of the triple correlation. The HOS method is compared to the classical pulse Doppler method and the quadratic detector. For the examples given, the HOS method shows a one to two dB improvement over classical methods.<<ETX>>","PeriodicalId":439030,"journal":{"name":"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Detection of radar targets using HOS\",\"authors\":\"R. D. Pierce\",\"doi\":\"10.1109/HOST.1993.264545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of higher-order statistics (HOS) to the detection of radar targets takes advantage of the HOS characteristic that allows the test statistics to be unbiased by Gaussian noise. To make use of this characteristic using data from a coherent radar, the samples from the radar's synchronous detector are coherently averaged in a formulation of the triple correlation. The HOS method is compared to the classical pulse Doppler method and the quadratic detector. For the examples given, the HOS method shows a one to two dB improvement over classical methods.<<ETX>>\",\"PeriodicalId\":439030,\"journal\":{\"name\":\"[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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.1993.264545\",\"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.1993.264545","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 the detection of radar targets takes advantage of the HOS characteristic that allows the test statistics to be unbiased by Gaussian noise. To make use of this characteristic using data from a coherent radar, the samples from the radar's synchronous detector are coherently averaged in a formulation of the triple correlation. The HOS method is compared to the classical pulse Doppler method and the quadratic detector. For the examples given, the HOS method shows a one to two dB improvement over classical methods.<>
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