Jiong Xu, Dawei Song, D. Ding, S. Tao, Rushan Chcn
{"title":"High Resolution 2d-Imaging Based on Data Fusion Technique","authors":"Jiong Xu, Dawei Song, D. Ding, S. Tao, Rushan Chcn","doi":"10.1109/COMPEM.2018.8496561","DOIUrl":null,"url":null,"abstract":"The range resolution of the traditional single radar imaging system is limited by the bandwidth of the transmitted signal, while the cross resolution is limited by its observation angle range. In this paper, a high resolution 2d-imaging method using data fusion technique is proposed. First, we introduce the theoretical basis of multi-radar data fusion imaging based on the 2d-radar echo sparse representation model. Then, sparse parameters of multi-radar echo are obtained by ExCoV algorithm. Finally, we get lost echo data by interpolation and extrapolation and realize the fusion process. The simulation results show that the image quality is improved after radar data fusion, which is better than that of the single radar echo, verifying the effectiveness of our method.","PeriodicalId":221352,"journal":{"name":"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Computational Electromagnetics (ICCEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2018.8496561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The range resolution of the traditional single radar imaging system is limited by the bandwidth of the transmitted signal, while the cross resolution is limited by its observation angle range. In this paper, a high resolution 2d-imaging method using data fusion technique is proposed. First, we introduce the theoretical basis of multi-radar data fusion imaging based on the 2d-radar echo sparse representation model. Then, sparse parameters of multi-radar echo are obtained by ExCoV algorithm. Finally, we get lost echo data by interpolation and extrapolation and realize the fusion process. The simulation results show that the image quality is improved after radar data fusion, which is better than that of the single radar echo, verifying the effectiveness of our method.