{"title":"时空自适应处理(STAP)性能的解析逼近","authors":"L. Fertig","doi":"10.1109/RADAR.2014.6875568","DOIUrl":null,"url":null,"abstract":"In this paper, a new closed-form expression for a common STAP performance metric (i.e., SINR Loss) is derived in terms of system parameters of interest. It is shown that this new relationship can be manipulated into new expressions for STAP Minimum Detectable Velocity (MDV) and STAP “aperture-limited” performance. These new developments are significant as they provide the first derivations that unify these concepts. As they are implemented in compact closed-form expressions, the new results are attractive for system design.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analytical approximations for Space-Time Adaptive Processing (STAP) performance\",\"authors\":\"L. Fertig\",\"doi\":\"10.1109/RADAR.2014.6875568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new closed-form expression for a common STAP performance metric (i.e., SINR Loss) is derived in terms of system parameters of interest. It is shown that this new relationship can be manipulated into new expressions for STAP Minimum Detectable Velocity (MDV) and STAP “aperture-limited” performance. These new developments are significant as they provide the first derivations that unify these concepts. As they are implemented in compact closed-form expressions, the new results are attractive for system design.\",\"PeriodicalId\":127690,\"journal\":{\"name\":\"2014 IEEE Radar Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2014.6875568\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2014.6875568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analytical approximations for Space-Time Adaptive Processing (STAP) performance
In this paper, a new closed-form expression for a common STAP performance metric (i.e., SINR Loss) is derived in terms of system parameters of interest. It is shown that this new relationship can be manipulated into new expressions for STAP Minimum Detectable Velocity (MDV) and STAP “aperture-limited” performance. These new developments are significant as they provide the first derivations that unify these concepts. As they are implemented in compact closed-form expressions, the new results are attractive for system design.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
