{"title":"基于波束形成的逆合成孔径雷达(ISAR)成像自动对焦","authors":"Z. She, R. Bogner, D. Gray","doi":"10.1109/NRC.1998.678006","DOIUrl":null,"url":null,"abstract":"Autofocus is critical for inverse synthetic aperture radar (ISAR) imaging. This paper develops two new approaches of autofocus for ISAR imaging based on beamforming. The ISAR observation model is established and the proposed approaches are described in detail. The relationships of the two approaches are identified and their statistical performance analysed. The results of processing simulated and real data confirm the validity of proposed approaches.","PeriodicalId":432418,"journal":{"name":"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming\",\"authors\":\"Z. She, R. Bogner, D. Gray\",\"doi\":\"10.1109/NRC.1998.678006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autofocus is critical for inverse synthetic aperture radar (ISAR) imaging. This paper develops two new approaches of autofocus for ISAR imaging based on beamforming. The ISAR observation model is established and the proposed approaches are described in detail. The relationships of the two approaches are identified and their statistical performance analysed. The results of processing simulated and real data confirm the validity of proposed approaches.\",\"PeriodicalId\":432418,\"journal\":{\"name\":\"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.1998.678006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.1998.678006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming
Autofocus is critical for inverse synthetic aperture radar (ISAR) imaging. This paper develops two new approaches of autofocus for ISAR imaging based on beamforming. The ISAR observation model is established and the proposed approaches are described in detail. The relationships of the two approaches are identified and their statistical performance analysed. The results of processing simulated and real data confirm the validity of proposed approaches.