{"title":"基于simo的地下传感方法","authors":"A. Yarovoy, X. Zhuge","doi":"10.1109/URSI-EMTS.2010.5637071","DOIUrl":null,"url":null,"abstract":"In this paper, application of near-field digital beamforming for shallow subsurface imaging is described. The main novelty of the approach is SIMO topology of the sensing (single transmit - multiple receive antennas). Dedicated antenna systems and imaging algorithms have been developed in order to take maximal advantages from the SIMO data acquisition. Verification of the approach has been done by development of a radar system for landmine detection. Field tests have demonstrated reliable detection of antipersonnel mines by scanning velocity of 10m/s.","PeriodicalId":404116,"journal":{"name":"2010 URSI International Symposium on Electromagnetic Theory","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"SIMO-based approach for subsurface sensing\",\"authors\":\"A. Yarovoy, X. Zhuge\",\"doi\":\"10.1109/URSI-EMTS.2010.5637071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, application of near-field digital beamforming for shallow subsurface imaging is described. The main novelty of the approach is SIMO topology of the sensing (single transmit - multiple receive antennas). Dedicated antenna systems and imaging algorithms have been developed in order to take maximal advantages from the SIMO data acquisition. Verification of the approach has been done by development of a radar system for landmine detection. Field tests have demonstrated reliable detection of antipersonnel mines by scanning velocity of 10m/s.\",\"PeriodicalId\":404116,\"journal\":{\"name\":\"2010 URSI International Symposium on Electromagnetic Theory\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 URSI International Symposium on Electromagnetic Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URSI-EMTS.2010.5637071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 URSI International Symposium on Electromagnetic Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URSI-EMTS.2010.5637071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, application of near-field digital beamforming for shallow subsurface imaging is described. The main novelty of the approach is SIMO topology of the sensing (single transmit - multiple receive antennas). Dedicated antenna systems and imaging algorithms have been developed in order to take maximal advantages from the SIMO data acquisition. Verification of the approach has been done by development of a radar system for landmine detection. Field tests have demonstrated reliable detection of antipersonnel mines by scanning velocity of 10m/s.
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