{"title":"利用实测数据分析时空自适应处理器","authors":"B. Himed, W. Melvin","doi":"10.1109/ACSSC.1997.680579","DOIUrl":null,"url":null,"abstract":"We use monostatic data obtained from the Multichannel Airborne Radar Measurements (MCARM) program to conduct a comparative analysis of various space-time adaptive processing techniques. Specifically, we consider reduced-dimension and reduced-rank methods. The measured data analysis shows the significance of training sample selection, effects of nonhomogeneity in the clutter data, sensitivity of certain classes of adaptive filters to the rank of the measured clutter signal and suitability of the various approaches.","PeriodicalId":240431,"journal":{"name":"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"Analyzing space-time adaptive processors using measured data\",\"authors\":\"B. Himed, W. Melvin\",\"doi\":\"10.1109/ACSSC.1997.680579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use monostatic data obtained from the Multichannel Airborne Radar Measurements (MCARM) program to conduct a comparative analysis of various space-time adaptive processing techniques. Specifically, we consider reduced-dimension and reduced-rank methods. The measured data analysis shows the significance of training sample selection, effects of nonhomogeneity in the clutter data, sensitivity of certain classes of adaptive filters to the rank of the measured clutter signal and suitability of the various approaches.\",\"PeriodicalId\":240431,\"journal\":{\"name\":\"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1997.680579\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1997.680579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing space-time adaptive processors using measured data
We use monostatic data obtained from the Multichannel Airborne Radar Measurements (MCARM) program to conduct a comparative analysis of various space-time adaptive processing techniques. Specifically, we consider reduced-dimension and reduced-rank methods. The measured data analysis shows the significance of training sample selection, effects of nonhomogeneity in the clutter data, sensitivity of certain classes of adaptive filters to the rank of the measured clutter signal and suitability of the various approaches.
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