{"title":"Wavenumber Domain 2-D Separable Data Reformatting Algorithm for High Squint Spotlight SAR","authors":"Qianyu Deng;Yan Jiang;Xinhua Mao","doi":"10.1109/TCI.2025.3551164","DOIUrl":null,"url":null,"abstract":"In the case of high squint spotlight synthetic aperture radar (SAR), if a fixed receive-window is used, the signal is distorted in time domain and frequency domain, leading to a significant amount of redundant data. To improve sampling efficiency, this paper adopts a sliding receive-window for signal sampling. However, using a sliding receive-window introduces 2-D coupling, necessitating 2-D interpolation for decoupling. To achieve efficient and accurate decoupling, this paper proposes a wavenumber domain 2-D separable data reformatting algorithm, which simplifies the 2-D interpolation into two separable 1-D interpolations. The new algorithm proposed in this paper can not only solve the problem of low sampling efficiency in the frequency domain caused by the distortion of the 2-D spectrum in high squint mode, but also improve the processing efficiency of eliminating the 2-D coupling in sliding receive-window mode. The effectiveness of the proposed algorithm is verified by point target simulations and real data processing.","PeriodicalId":56022,"journal":{"name":"IEEE Transactions on Computational Imaging","volume":"11 ","pages":"468-484"},"PeriodicalIF":4.2000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Imaging","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10924666/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In the case of high squint spotlight synthetic aperture radar (SAR), if a fixed receive-window is used, the signal is distorted in time domain and frequency domain, leading to a significant amount of redundant data. To improve sampling efficiency, this paper adopts a sliding receive-window for signal sampling. However, using a sliding receive-window introduces 2-D coupling, necessitating 2-D interpolation for decoupling. To achieve efficient and accurate decoupling, this paper proposes a wavenumber domain 2-D separable data reformatting algorithm, which simplifies the 2-D interpolation into two separable 1-D interpolations. The new algorithm proposed in this paper can not only solve the problem of low sampling efficiency in the frequency domain caused by the distortion of the 2-D spectrum in high squint mode, but also improve the processing efficiency of eliminating the 2-D coupling in sliding receive-window mode. The effectiveness of the proposed algorithm is verified by point target simulations and real data processing.
期刊介绍:
The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.