{"title":"基于反比例傅立叶变换算法的平移型双基地前视SAR聚焦","authors":"Liu Huan, Li Qiang, Yuebo Fan, D. Li","doi":"10.1109/ICSAI53574.2021.9664191","DOIUrl":null,"url":null,"abstract":"The conventional synthetic aperture radar (SAR) cannot image in the forward-looking direction; this problem can be solved by bistatic SAR(BSAR). A bistatic forward-looking SAR(BFSAR) configuration is introduced in this paper. The series inversion method (MSR) is adopted to obtain its 2D spectrum, and then the inverse scale Fourier transform algorithm (SCFT) is used based on this spectrum. The simulation results verify the effectiveness of this method.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Focusing of Translational Variant Bistatic Forward-Looking SAR Based on Inverse Scaled Fourier Transformation Algorithm\",\"authors\":\"Liu Huan, Li Qiang, Yuebo Fan, D. Li\",\"doi\":\"10.1109/ICSAI53574.2021.9664191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The conventional synthetic aperture radar (SAR) cannot image in the forward-looking direction; this problem can be solved by bistatic SAR(BSAR). A bistatic forward-looking SAR(BFSAR) configuration is introduced in this paper. The series inversion method (MSR) is adopted to obtain its 2D spectrum, and then the inverse scale Fourier transform algorithm (SCFT) is used based on this spectrum. The simulation results verify the effectiveness of this method.\",\"PeriodicalId\":131284,\"journal\":{\"name\":\"2021 7th International Conference on Systems and Informatics (ICSAI)\",\"volume\":\"184 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 7th International Conference on Systems and Informatics (ICSAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI53574.2021.9664191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 7th International Conference on Systems and Informatics (ICSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI53574.2021.9664191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Focusing of Translational Variant Bistatic Forward-Looking SAR Based on Inverse Scaled Fourier Transformation Algorithm
The conventional synthetic aperture radar (SAR) cannot image in the forward-looking direction; this problem can be solved by bistatic SAR(BSAR). A bistatic forward-looking SAR(BFSAR) configuration is introduced in this paper. The series inversion method (MSR) is adopted to obtain its 2D spectrum, and then the inverse scale Fourier transform algorithm (SCFT) is used based on this spectrum. The simulation results verify the effectiveness of this method.