{"title":"异构处理器环境下时空自适应处理的映射方法","authors":"Yinbo Shao, Yongliang Wang, Qiang Li, Xuesu Xiao","doi":"10.1109/IMSCCS.2006.12","DOIUrl":null,"url":null,"abstract":"Space-time adaptive processing (STAP) is the key technology of new generation airborne digital signal processing systems. A major challenge in implementing STAP is to meet the real-time requirement while using fewer processors. To meet these requirements, a unified framework for STAP task mapping is developed. In this framework, a STAP task model is firstly brought forward, which exploits the fact that tasks in each stage are independent. Different types of processors are considered and a four-step task mapping methodology is developed. Experimental results show that our methodology can save processors while meeting real-time requirement","PeriodicalId":202629,"journal":{"name":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Mapping Methodology for Space-Time Adaptive Processing in Heterogeneous Processors Environment\",\"authors\":\"Yinbo Shao, Yongliang Wang, Qiang Li, Xuesu Xiao\",\"doi\":\"10.1109/IMSCCS.2006.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Space-time adaptive processing (STAP) is the key technology of new generation airborne digital signal processing systems. A major challenge in implementing STAP is to meet the real-time requirement while using fewer processors. To meet these requirements, a unified framework for STAP task mapping is developed. In this framework, a STAP task model is firstly brought forward, which exploits the fact that tasks in each stage are independent. Different types of processors are considered and a four-step task mapping methodology is developed. Experimental results show that our methodology can save processors while meeting real-time requirement\",\"PeriodicalId\":202629,\"journal\":{\"name\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMSCCS.2006.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMSCCS.2006.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Mapping Methodology for Space-Time Adaptive Processing in Heterogeneous Processors Environment
Space-time adaptive processing (STAP) is the key technology of new generation airborne digital signal processing systems. A major challenge in implementing STAP is to meet the real-time requirement while using fewer processors. To meet these requirements, a unified framework for STAP task mapping is developed. In this framework, a STAP task model is firstly brought forward, which exploits the fact that tasks in each stage are independent. Different types of processors are considered and a four-step task mapping methodology is developed. Experimental results show that our methodology can save processors while meeting real-time requirement