{"title":"基于稀疏阵列的HRWS/GMTI天基SAR性能分析","authors":"Louis-Philippe Rousseau, J. Chouinard, C. Gierull","doi":"10.1109/IRS.2016.7497309","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze the HRWS and GMTI performances of sparse arrays mounted on a space-based radar platform. Imaging STAP (ISTAP) is employed for clutter cancellation and estimation of motion parameters, while multichannel signal reconstruction is done in the MMSE sense. It is demonstrated that sparse arrays lead to improved GMTI, without the need for additional hardware on the spacecraft. A minimum redundant array provides the best compromise of HRWS/GMTI performances.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance analysis of HRWS/GMTI for space-based SAR using sparse arrays\",\"authors\":\"Louis-Philippe Rousseau, J. Chouinard, C. Gierull\",\"doi\":\"10.1109/IRS.2016.7497309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we analyze the HRWS and GMTI performances of sparse arrays mounted on a space-based radar platform. Imaging STAP (ISTAP) is employed for clutter cancellation and estimation of motion parameters, while multichannel signal reconstruction is done in the MMSE sense. It is demonstrated that sparse arrays lead to improved GMTI, without the need for additional hardware on the spacecraft. A minimum redundant array provides the best compromise of HRWS/GMTI performances.\",\"PeriodicalId\":346680,\"journal\":{\"name\":\"2016 17th International Radar Symposium (IRS)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 17th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2016.7497309\",\"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 17th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2016.7497309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis of HRWS/GMTI for space-based SAR using sparse arrays
In this paper, we analyze the HRWS and GMTI performances of sparse arrays mounted on a space-based radar platform. Imaging STAP (ISTAP) is employed for clutter cancellation and estimation of motion parameters, while multichannel signal reconstruction is done in the MMSE sense. It is demonstrated that sparse arrays lead to improved GMTI, without the need for additional hardware on the spacecraft. A minimum redundant array provides the best compromise of HRWS/GMTI performances.