{"title":"自适应雷达杂波抵消模型阶数估计","authors":"M. Rangaswamy, S. Kay, Cuichun Xu, F. Lin","doi":"10.1109/WDDC.2007.4339439","DOIUrl":null,"url":null,"abstract":"Adaptive waveform design for radar clutter cancellation requires knowledge of the rank of the clutter subspace. In this paper, we compare the computed clutter subspace rank, r, using three methods: (i) the exponentially embedded family (EEF) estimator, (ii) Rissanen's minimum description length (MDL) estimator, and (iii) the statistical ranking and selection method (CWA).","PeriodicalId":142822,"journal":{"name":"2007 International Waveform Diversity and Design Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Model order estimation for adaptive radar clutter cancellation\",\"authors\":\"M. Rangaswamy, S. Kay, Cuichun Xu, F. Lin\",\"doi\":\"10.1109/WDDC.2007.4339439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adaptive waveform design for radar clutter cancellation requires knowledge of the rank of the clutter subspace. In this paper, we compare the computed clutter subspace rank, r, using three methods: (i) the exponentially embedded family (EEF) estimator, (ii) Rissanen's minimum description length (MDL) estimator, and (iii) the statistical ranking and selection method (CWA).\",\"PeriodicalId\":142822,\"journal\":{\"name\":\"2007 International Waveform Diversity and Design Conference\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Waveform Diversity and Design Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WDDC.2007.4339439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Waveform Diversity and Design Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WDDC.2007.4339439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model order estimation for adaptive radar clutter cancellation
Adaptive waveform design for radar clutter cancellation requires knowledge of the rank of the clutter subspace. In this paper, we compare the computed clutter subspace rank, r, using three methods: (i) the exponentially embedded family (EEF) estimator, (ii) Rissanen's minimum description length (MDL) estimator, and (iii) the statistical ranking and selection method (CWA).