Hai Huang, Shengqi Zhu, Xiongpeng He, Ximin Li, Jingwei Xu, Kun Liu
{"title":"A Wide-Swath Imaging Method for the MIMO Bistatic SAR System","authors":"Hai Huang, Shengqi Zhu, Xiongpeng He, Ximin Li, Jingwei Xu, Kun Liu","doi":"10.1109/ICICSP55539.2022.10050686","DOIUrl":null,"url":null,"abstract":"Existing imaging methods about Bistatic SAR(BiSAR) mostly consider small scene with single channel and ignore the negative effects of range ambiguity. In order to address this problem, a wide-swath imaging method based on multiple-input multiple-output(MIMO) BiSAR system is proposed in this paper. Firstly, the element pulse coding(EPC) MIMO BiSAR model is established by modulating both of elements and pulses. After that, the spatial filtering technique is utilized to separate signals from different range regions. Then, the Doppler preprocessing that based on the prior configuration information is performed to eliminate the Doppler centroid ambiguity. Finally, classical imaging method is performed, and the wide-swath imaging results can be obtained. Numerical simulations verify the proposed method.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP55539.2022.10050686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Existing imaging methods about Bistatic SAR(BiSAR) mostly consider small scene with single channel and ignore the negative effects of range ambiguity. In order to address this problem, a wide-swath imaging method based on multiple-input multiple-output(MIMO) BiSAR system is proposed in this paper. Firstly, the element pulse coding(EPC) MIMO BiSAR model is established by modulating both of elements and pulses. After that, the spatial filtering technique is utilized to separate signals from different range regions. Then, the Doppler preprocessing that based on the prior configuration information is performed to eliminate the Doppler centroid ambiguity. Finally, classical imaging method is performed, and the wide-swath imaging results can be obtained. Numerical simulations verify the proposed method.
现有的双基地SAR(BiSAR)成像方法多考虑单通道小场景,忽略了距离模糊的负面影响。为了解决这一问题,本文提出了一种基于多输入多输出(MIMO) BiSAR系统的宽幅成像方法。首先,通过对单元和脉冲进行调制,建立了单元脉冲编码(EPC) MIMO BiSAR模型;然后利用空间滤波技术分离不同距离区域的信号。然后,基于先验配置信息进行多普勒预处理,消除多普勒质心模糊。最后,采用经典成像方法,获得了宽幅成像结果。数值仿真验证了该方法的有效性。