{"title":"利用窄带MIMO雷达和ISAR技术进行三维成像","authors":"Xiaowei Hu, N. Tong, Yongshun Zhang, Yuchen Wang","doi":"10.1109/WCSP.2015.7340990","DOIUrl":null,"url":null,"abstract":"A novel method for three-dimensional (3D) imaging by combining a narrowband bistatic multiple-input-multiple-output (MIMO) radar with two uniform linear arrays and inverse synthetic aperture technique is presented. During a short coherent processing interval (CPI), the motion of the target can be equivalent to a synthetic uniform linear array, which, together with the two narrowband MIMO arrays, is capable to reconstruct the 3D image of the target. Compared with the one-snapshot narrowband MIMO 3D imaging using two rectangular arrays, the proposed method can achieve a significant saving on the number of antennas since the linear arrays and multiple-snapshot technique are employed. Considering the low resolution of the image via limited MIMO arrays, a compressive sensing (CS)-based method is proposed to improve the 3D resolution jointly. Finally, simulation results demonstrate the proposed method is effective.","PeriodicalId":164776,"journal":{"name":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"3D imaging using narrowband MIMO radar and ISAR technique\",\"authors\":\"Xiaowei Hu, N. Tong, Yongshun Zhang, Yuchen Wang\",\"doi\":\"10.1109/WCSP.2015.7340990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel method for three-dimensional (3D) imaging by combining a narrowband bistatic multiple-input-multiple-output (MIMO) radar with two uniform linear arrays and inverse synthetic aperture technique is presented. During a short coherent processing interval (CPI), the motion of the target can be equivalent to a synthetic uniform linear array, which, together with the two narrowband MIMO arrays, is capable to reconstruct the 3D image of the target. Compared with the one-snapshot narrowband MIMO 3D imaging using two rectangular arrays, the proposed method can achieve a significant saving on the number of antennas since the linear arrays and multiple-snapshot technique are employed. Considering the low resolution of the image via limited MIMO arrays, a compressive sensing (CS)-based method is proposed to improve the 3D resolution jointly. Finally, simulation results demonstrate the proposed method is effective.\",\"PeriodicalId\":164776,\"journal\":{\"name\":\"2015 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Wireless Communications & Signal Processing (WCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2015.7340990\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2015.7340990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D imaging using narrowband MIMO radar and ISAR technique
A novel method for three-dimensional (3D) imaging by combining a narrowband bistatic multiple-input-multiple-output (MIMO) radar with two uniform linear arrays and inverse synthetic aperture technique is presented. During a short coherent processing interval (CPI), the motion of the target can be equivalent to a synthetic uniform linear array, which, together with the two narrowband MIMO arrays, is capable to reconstruct the 3D image of the target. Compared with the one-snapshot narrowband MIMO 3D imaging using two rectangular arrays, the proposed method can achieve a significant saving on the number of antennas since the linear arrays and multiple-snapshot technique are employed. Considering the low resolution of the image via limited MIMO arrays, a compressive sensing (CS)-based method is proposed to improve the 3D resolution jointly. Finally, simulation results demonstrate the proposed method is effective.