Xiaoji Song, Yi Su, Yutao Zhu, Chunlin Huang, Min Lu
{"title":"Improving holographic radar imaging resolution via deconvolution","authors":"Xiaoji Song, Yi Su, Yutao Zhu, Chunlin Huang, Min Lu","doi":"10.1109/ICGPR.2014.6970502","DOIUrl":null,"url":null,"abstract":"Holographic radar usually adopts antenna with wide beam pattern to form a big synthetic aperture and to obtain high spatial resolution. However, previous works have indicated that the antenna pattern is essentially a low-pass filter in wavenumber domain and it reduces the practical resolution. To eliminate the influence of the antenna pattern and improve the practical resolution, this paper presents a deconvolution method implemented in two-dimension wavenumber domain. The proposed method acquires parameters by scaling and shifting the target echo to design a Wiener filter. With this Wiener filter, the received signal is deconvolved to restore the wavenumber spectrum. Some numerical simulations and laboratory experiments were conducted. The imaging results of the deconvolved data show that the resolution improved by 50%.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Conference on Ground Penetrating Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2014.6970502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Holographic radar usually adopts antenna with wide beam pattern to form a big synthetic aperture and to obtain high spatial resolution. However, previous works have indicated that the antenna pattern is essentially a low-pass filter in wavenumber domain and it reduces the practical resolution. To eliminate the influence of the antenna pattern and improve the practical resolution, this paper presents a deconvolution method implemented in two-dimension wavenumber domain. The proposed method acquires parameters by scaling and shifting the target echo to design a Wiener filter. With this Wiener filter, the received signal is deconvolved to restore the wavenumber spectrum. Some numerical simulations and laboratory experiments were conducted. The imaging results of the deconvolved data show that the resolution improved by 50%.