{"title":"基于迭代因子法的MIMO雷达时空自适应处理","authors":"Hui Lv, Da-Zheng Feng","doi":"10.1109/ICEICT.2016.7879729","DOIUrl":null,"url":null,"abstract":"This paper develops a new space-time adaptive processing (STAP) technique for multiple-input multiple-output (MIMO) radar, which is a reduced-dimension application of the well-known factored approach (FA) and extended factored approach (EFA). Simulation results are presented to demonstrate the effectiveness of this new method.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"MIMO radar space-time adaptive processing via iterative factored approach\",\"authors\":\"Hui Lv, Da-Zheng Feng\",\"doi\":\"10.1109/ICEICT.2016.7879729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops a new space-time adaptive processing (STAP) technique for multiple-input multiple-output (MIMO) radar, which is a reduced-dimension application of the well-known factored approach (FA) and extended factored approach (EFA). Simulation results are presented to demonstrate the effectiveness of this new method.\",\"PeriodicalId\":224387,\"journal\":{\"name\":\"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEICT.2016.7879729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT.2016.7879729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MIMO radar space-time adaptive processing via iterative factored approach
This paper develops a new space-time adaptive processing (STAP) technique for multiple-input multiple-output (MIMO) radar, which is a reduced-dimension application of the well-known factored approach (FA) and extended factored approach (EFA). Simulation results are presented to demonstrate the effectiveness of this new method.