{"title":"雷达的STAP:什么是有效的，什么是无效的，以及什么是存储的。IEEE雷达会议，2004","authors":"A. Steinhardt, J. Guerci","doi":"10.1109/NRC.2004.1316470","DOIUrl":null,"url":null,"abstract":"This paper presents a survey of the challenges associated with STAP applied to real world radar problems. We then discuss solutions that have proved viable and why, and provide hints at what may be in store in the future. A primary contention is that better physical insight is the key to better STAP. We appear to have nearly exhausted the benefit of theoretical refinements on existing elegant, through inadequate mathematical statistical models.","PeriodicalId":268965,"journal":{"name":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"STAP for RADAR: what works, what doesn't, and what's in store. IEEE radar conference, 2004\",\"authors\":\"A. Steinhardt, J. Guerci\",\"doi\":\"10.1109/NRC.2004.1316470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a survey of the challenges associated with STAP applied to real world radar problems. We then discuss solutions that have proved viable and why, and provide hints at what may be in store in the future. A primary contention is that better physical insight is the key to better STAP. We appear to have nearly exhausted the benefit of theoretical refinements on existing elegant, through inadequate mathematical statistical models.\",\"PeriodicalId\":268965,\"journal\":{\"name\":\"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.2004.1316470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2004.1316470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
STAP for RADAR: what works, what doesn't, and what's in store. IEEE radar conference, 2004
This paper presents a survey of the challenges associated with STAP applied to real world radar problems. We then discuss solutions that have proved viable and why, and provide hints at what may be in store in the future. A primary contention is that better physical insight is the key to better STAP. We appear to have nearly exhausted the benefit of theoretical refinements on existing elegant, through inadequate mathematical statistical models.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
