{"title":"最小方差单脉冲技术在时空自适应处理中的应用","authors":"A. S. Paine","doi":"10.1109/RADAR.2000.851901","DOIUrl":null,"url":null,"abstract":"An adaptive monopulse technique has recently been developed to obtain target direction estimates with minimum error variance. In this paper the 'minimum variance adaptive monopulse' technique (MVAM) is extended to space-time adaptive processing (STAP). Simulations of slow moving targets demonstrate the advantages of using MVAM rather than other space-time adaptive monopulse techniques for the estimation of target direction and Doppler frequency.","PeriodicalId":286281,"journal":{"name":"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Application of the minimum variance monopulse technique to space-time adaptive processing\",\"authors\":\"A. S. Paine\",\"doi\":\"10.1109/RADAR.2000.851901\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An adaptive monopulse technique has recently been developed to obtain target direction estimates with minimum error variance. In this paper the 'minimum variance adaptive monopulse' technique (MVAM) is extended to space-time adaptive processing (STAP). Simulations of slow moving targets demonstrate the advantages of using MVAM rather than other space-time adaptive monopulse techniques for the estimation of target direction and Doppler frequency.\",\"PeriodicalId\":286281,\"journal\":{\"name\":\"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2000.851901\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037]","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2000.851901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of the minimum variance monopulse technique to space-time adaptive processing
An adaptive monopulse technique has recently been developed to obtain target direction estimates with minimum error variance. In this paper the 'minimum variance adaptive monopulse' technique (MVAM) is extended to space-time adaptive processing (STAP). Simulations of slow moving targets demonstrate the advantages of using MVAM rather than other space-time adaptive monopulse techniques for the estimation of target direction and Doppler frequency.