{"title":"Landmine detection with holographic radar","authors":"X. Song, Y. Su, C. Huang, M. Lu, S. Zhu","doi":"10.1109/ICGPR.2016.7572660","DOIUrl":null,"url":null,"abstract":"Holographic radar is a promising method of detecting landmines. Taking advantage of high plan-view resolution, holographic radar is able to discriminate targets from clutter objects. However, as high-frequency electromagnetic waves attenuate fast in soil, the performance of holographic radar in field experiments needs to be validated. Hence, we conduct experiments in different environments with the holographic radar system developed by our lab. To speed up data acquisition, we adopt a radial sampling scheme. The corresponding data processing algorithm, named `wavenumber domain filtered backprojection', is presented and verified with numerical simulation and field experimental data. The experimental results confirmed the feasibility and efficiency of holographic radar in detecting shallowly buried targets.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 16th International Conference on Ground Penetrating Radar (GPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2016.7572660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Holographic radar is a promising method of detecting landmines. Taking advantage of high plan-view resolution, holographic radar is able to discriminate targets from clutter objects. However, as high-frequency electromagnetic waves attenuate fast in soil, the performance of holographic radar in field experiments needs to be validated. Hence, we conduct experiments in different environments with the holographic radar system developed by our lab. To speed up data acquisition, we adopt a radial sampling scheme. The corresponding data processing algorithm, named `wavenumber domain filtered backprojection', is presented and verified with numerical simulation and field experimental data. The experimental results confirmed the feasibility and efficiency of holographic radar in detecting shallowly buried targets.