{"title":"一种鲁棒时空多波束STAP算法","authors":"Xi-kun Fan, Fan Yang","doi":"10.1109/ICSPS.2010.5555510","DOIUrl":null,"url":null,"abstract":"Considering the limited sample support and computational complexity, the traditional localized STAP algorithms restrict adaptive processing in localized processing region and for the most part they have fixed system degrees of freedom (DOF). A new idea about the localized STAP algorithm which adjusting system DOFs adaptively with variable interference environment are presented, and some practical issues, such as performance metric selection, initial system DOFs selection and the recursion fast algorithm of weight are discussed. The validity of the research is proved by measurement data processing results. This algorithm is more robust in complicated interference environment, and it reduces large computational complexity and improves the performance of jammer suppression.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A robust space-time multiple-beam STAP algorithm\",\"authors\":\"Xi-kun Fan, Fan Yang\",\"doi\":\"10.1109/ICSPS.2010.5555510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the limited sample support and computational complexity, the traditional localized STAP algorithms restrict adaptive processing in localized processing region and for the most part they have fixed system degrees of freedom (DOF). A new idea about the localized STAP algorithm which adjusting system DOFs adaptively with variable interference environment are presented, and some practical issues, such as performance metric selection, initial system DOFs selection and the recursion fast algorithm of weight are discussed. The validity of the research is proved by measurement data processing results. This algorithm is more robust in complicated interference environment, and it reduces large computational complexity and improves the performance of jammer suppression.\",\"PeriodicalId\":234084,\"journal\":{\"name\":\"2010 2nd International Conference on Signal Processing Systems\",\"volume\":\"201 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPS.2010.5555510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Considering the limited sample support and computational complexity, the traditional localized STAP algorithms restrict adaptive processing in localized processing region and for the most part they have fixed system degrees of freedom (DOF). A new idea about the localized STAP algorithm which adjusting system DOFs adaptively with variable interference environment are presented, and some practical issues, such as performance metric selection, initial system DOFs selection and the recursion fast algorithm of weight are discussed. The validity of the research is proved by measurement data processing results. This algorithm is more robust in complicated interference environment, and it reduces large computational complexity and improves the performance of jammer suppression.