{"title":"改进前视探地雷达目标探测的多孔径处理","authors":"D. Comite, F. Ahmad, M. Amin, T. Dogaru","doi":"10.1109/EUCAP.2016.7482007","DOIUrl":null,"url":null,"abstract":"An advanced imaging procedure that exploits the intrinsic multi-aperture nature of a ground-based forward-looking GPR is presented. The imaging algorithm takes into account the near-field nature of the sensing configuration. Numerical data based on electromagnetic modeling of shallow buried targets in ground with a rough-surface profile are used in conjunction with a likelihood ratio test detector to demonstrate the effectiveness of the proposed approach.","PeriodicalId":6509,"journal":{"name":"2016 10th European Conference on Antennas and Propagation (EuCAP)","volume":"27 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-aperture processing for improved target detection in forward-looking GPR applications\",\"authors\":\"D. Comite, F. Ahmad, M. Amin, T. Dogaru\",\"doi\":\"10.1109/EUCAP.2016.7482007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An advanced imaging procedure that exploits the intrinsic multi-aperture nature of a ground-based forward-looking GPR is presented. The imaging algorithm takes into account the near-field nature of the sensing configuration. Numerical data based on electromagnetic modeling of shallow buried targets in ground with a rough-surface profile are used in conjunction with a likelihood ratio test detector to demonstrate the effectiveness of the proposed approach.\",\"PeriodicalId\":6509,\"journal\":{\"name\":\"2016 10th European Conference on Antennas and Propagation (EuCAP)\",\"volume\":\"27 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 10th European Conference on Antennas and Propagation (EuCAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUCAP.2016.7482007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th European Conference on Antennas and Propagation (EuCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUCAP.2016.7482007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-aperture processing for improved target detection in forward-looking GPR applications
An advanced imaging procedure that exploits the intrinsic multi-aperture nature of a ground-based forward-looking GPR is presented. The imaging algorithm takes into account the near-field nature of the sensing configuration. Numerical data based on electromagnetic modeling of shallow buried targets in ground with a rough-surface profile are used in conjunction with a likelihood ratio test detector to demonstrate the effectiveness of the proposed approach.
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