{"title":"高机动平台SAR信号特性分析及时域成像方法","authors":"L. WeiPing, He Yang, Tang Zongxi","doi":"10.1109/SIPROCESS.2016.7888300","DOIUrl":null,"url":null,"abstract":"Comparing with conventional airborne synthetic aperture radar (SAR), the signal characteristics of highly-maneuvering (HM) platform SAR are much more complicated that makes the HM-SAR imaging difficult to process. To address this problem, this paper establishes the HM-SAR signal model in wavenumber-domain and analyses the signal characteristics for SAR imaging, based on which the relationship between the HM-SAR echoes and the spectrum of SAR image is revealed. Then, the two dimensional Nyquist sampling rates for imaging are designated accordingly and an effective time-domain image process is developed with high accuracy. Simulation results are presented and analyzed to validate the performance of the proposed method.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analyses of signal characteristics of highly-maneuvering platform SAR and time-domain imaging method\",\"authors\":\"L. WeiPing, He Yang, Tang Zongxi\",\"doi\":\"10.1109/SIPROCESS.2016.7888300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Comparing with conventional airborne synthetic aperture radar (SAR), the signal characteristics of highly-maneuvering (HM) platform SAR are much more complicated that makes the HM-SAR imaging difficult to process. To address this problem, this paper establishes the HM-SAR signal model in wavenumber-domain and analyses the signal characteristics for SAR imaging, based on which the relationship between the HM-SAR echoes and the spectrum of SAR image is revealed. Then, the two dimensional Nyquist sampling rates for imaging are designated accordingly and an effective time-domain image process is developed with high accuracy. Simulation results are presented and analyzed to validate the performance of the proposed method.\",\"PeriodicalId\":142802,\"journal\":{\"name\":\"2016 IEEE International Conference on Signal and Image Processing (ICSIP)\",\"volume\":\"22 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 Signal and Image Processing (ICSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPROCESS.2016.7888300\",\"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 Signal and Image Processing (ICSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPROCESS.2016.7888300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyses of signal characteristics of highly-maneuvering platform SAR and time-domain imaging method
Comparing with conventional airborne synthetic aperture radar (SAR), the signal characteristics of highly-maneuvering (HM) platform SAR are much more complicated that makes the HM-SAR imaging difficult to process. To address this problem, this paper establishes the HM-SAR signal model in wavenumber-domain and analyses the signal characteristics for SAR imaging, based on which the relationship between the HM-SAR echoes and the spectrum of SAR image is revealed. Then, the two dimensional Nyquist sampling rates for imaging are designated accordingly and an effective time-domain image process is developed with high accuracy. Simulation results are presented and analyzed to validate the performance of the proposed method.
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