{"title":"利用接收信号的稀疏性抑制SFCW探地雷达旁瓣","authors":"L. Qu, Tianhong Yang, Xuan Li, Pingping Huang","doi":"10.1109/ICGPR.2012.6254886","DOIUrl":null,"url":null,"abstract":"A sidelobe suppression algorithm based on compressive sensing (CS) theory for stepped-frequency continuous wave ground penetrating radar (SFCW GPR) is proposed. Due to sparse nature of the amplitude and time delay of signals reflected from underground layers and buried objects, an L1-norm minimization regularization approach within the framework of CS is employed to reconstruct the super-resolution SFCW GPR time domain signal for sidelobe suppression. The simulation results validate the feasibility and effectiveness of our proposed method.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sidelobe suppression technique for SFCW GPR using the sparsity property of the received signal\",\"authors\":\"L. Qu, Tianhong Yang, Xuan Li, Pingping Huang\",\"doi\":\"10.1109/ICGPR.2012.6254886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A sidelobe suppression algorithm based on compressive sensing (CS) theory for stepped-frequency continuous wave ground penetrating radar (SFCW GPR) is proposed. Due to sparse nature of the amplitude and time delay of signals reflected from underground layers and buried objects, an L1-norm minimization regularization approach within the framework of CS is employed to reconstruct the super-resolution SFCW GPR time domain signal for sidelobe suppression. The simulation results validate the feasibility and effectiveness of our proposed method.\",\"PeriodicalId\":443640,\"journal\":{\"name\":\"2012 14th International Conference on Ground Penetrating Radar (GPR)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 14th International Conference on Ground Penetrating Radar (GPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGPR.2012.6254886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 14th International Conference on Ground Penetrating Radar (GPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2012.6254886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sidelobe suppression technique for SFCW GPR using the sparsity property of the received signal
A sidelobe suppression algorithm based on compressive sensing (CS) theory for stepped-frequency continuous wave ground penetrating radar (SFCW GPR) is proposed. Due to sparse nature of the amplitude and time delay of signals reflected from underground layers and buried objects, an L1-norm minimization regularization approach within the framework of CS is employed to reconstruct the super-resolution SFCW GPR time domain signal for sidelobe suppression. The simulation results validate the feasibility and effectiveness of our proposed method.
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