{"title":"混凝土损伤检测的时间反演成像方法","authors":"Guangmin Zhang, Yue Song","doi":"10.1109/SIPROCESS.2016.7888264","DOIUrl":null,"url":null,"abstract":"In this paper, a novel time reversal imaging (TRI) algorithm for damage detection in concrete is presented. The standard time reversal imaging method typically suffers from performance degradation when the echo signals are interfered by strong noise. The proposed method is developed to address the aforementioned issues. First, the echo signals are time reversed and rebroadcasted from each receiver's location. Then, the cross-correlation function of the time reversed signal and the probing signal is calculated. Finally, the value of the cross-correlation function is used to construct the imaging map. Since the probing signals are irrelevant to the noise, the proposal method can effectively suppress noise. A numerical experiment was taken. The results indicate that the performance of the proposed method is superior to that of the standard Time Reversal imaging method under low SNR condition.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Time reversal imaging method for damage detection in concrete\",\"authors\":\"Guangmin Zhang, Yue Song\",\"doi\":\"10.1109/SIPROCESS.2016.7888264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel time reversal imaging (TRI) algorithm for damage detection in concrete is presented. The standard time reversal imaging method typically suffers from performance degradation when the echo signals are interfered by strong noise. The proposed method is developed to address the aforementioned issues. First, the echo signals are time reversed and rebroadcasted from each receiver's location. Then, the cross-correlation function of the time reversed signal and the probing signal is calculated. Finally, the value of the cross-correlation function is used to construct the imaging map. Since the probing signals are irrelevant to the noise, the proposal method can effectively suppress noise. A numerical experiment was taken. The results indicate that the performance of the proposed method is superior to that of the standard Time Reversal imaging method under low SNR condition.\",\"PeriodicalId\":142802,\"journal\":{\"name\":\"2016 IEEE International Conference on Signal and Image Processing (ICSIP)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Signal and Image Processing (ICSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPROCESS.2016.7888264\",\"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 IEEE International Conference on Signal and Image Processing (ICSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPROCESS.2016.7888264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time reversal imaging method for damage detection in concrete
In this paper, a novel time reversal imaging (TRI) algorithm for damage detection in concrete is presented. The standard time reversal imaging method typically suffers from performance degradation when the echo signals are interfered by strong noise. The proposed method is developed to address the aforementioned issues. First, the echo signals are time reversed and rebroadcasted from each receiver's location. Then, the cross-correlation function of the time reversed signal and the probing signal is calculated. Finally, the value of the cross-correlation function is used to construct the imaging map. Since the probing signals are irrelevant to the noise, the proposal method can effectively suppress noise. A numerical experiment was taken. The results indicate that the performance of the proposed method is superior to that of the standard Time Reversal imaging method under low SNR condition.