Shuo Wang, Wenjie Shen, Yang Li, Yun Lin, Yanping Wang
{"title":"GBSAR运动目标检测能力评估与重聚焦检测算法","authors":"Shuo Wang, Wenjie Shen, Yang Li, Yun Lin, Yanping Wang","doi":"10.1145/3532342.3532347","DOIUrl":null,"url":null,"abstract":"Ground Based Synthetic Aperture Radar (GBSAR) can retrieve sub-millimeter deformation information of the mine slope by using differential interferometry, which is important to safe production in mining application. However, the continuous operation of vehicles in the mining area can block radar signal to slope. The movement of vehicles may also affect the slope stability. Therefore, using GBSAR to detect moving target signal and remove their influence to deformation retrieval is necessary. To our knowledge, the paper about moving target detection based on GBSAR has not been published. Considering current GBSAR systems are mostly single channel FMCW systems. In this paper, we evaluate the capability of moving target detection based on NCUT Risk Radar GBSAR. The GBSAR moving target signal model is analyzed. Then, detection methods utilize shift and defocusing characteristics are analyze. According to the analysis, a new time-domain phase compensation method with relative speed for azimuth moving target detection is proposed. The analysis and proposed method are verified by simulated data.","PeriodicalId":398859,"journal":{"name":"Proceedings of the 4th International Symposium on Signal Processing Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GBSAR Moving Target Detection Capability Evaluation and Refocus based Detection Algorithm\",\"authors\":\"Shuo Wang, Wenjie Shen, Yang Li, Yun Lin, Yanping Wang\",\"doi\":\"10.1145/3532342.3532347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ground Based Synthetic Aperture Radar (GBSAR) can retrieve sub-millimeter deformation information of the mine slope by using differential interferometry, which is important to safe production in mining application. However, the continuous operation of vehicles in the mining area can block radar signal to slope. The movement of vehicles may also affect the slope stability. Therefore, using GBSAR to detect moving target signal and remove their influence to deformation retrieval is necessary. To our knowledge, the paper about moving target detection based on GBSAR has not been published. Considering current GBSAR systems are mostly single channel FMCW systems. In this paper, we evaluate the capability of moving target detection based on NCUT Risk Radar GBSAR. The GBSAR moving target signal model is analyzed. Then, detection methods utilize shift and defocusing characteristics are analyze. According to the analysis, a new time-domain phase compensation method with relative speed for azimuth moving target detection is proposed. The analysis and proposed method are verified by simulated data.\",\"PeriodicalId\":398859,\"journal\":{\"name\":\"Proceedings of the 4th International Symposium on Signal Processing Systems\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Symposium on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3532342.3532347\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Symposium on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3532342.3532347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GBSAR Moving Target Detection Capability Evaluation and Refocus based Detection Algorithm
Ground Based Synthetic Aperture Radar (GBSAR) can retrieve sub-millimeter deformation information of the mine slope by using differential interferometry, which is important to safe production in mining application. However, the continuous operation of vehicles in the mining area can block radar signal to slope. The movement of vehicles may also affect the slope stability. Therefore, using GBSAR to detect moving target signal and remove their influence to deformation retrieval is necessary. To our knowledge, the paper about moving target detection based on GBSAR has not been published. Considering current GBSAR systems are mostly single channel FMCW systems. In this paper, we evaluate the capability of moving target detection based on NCUT Risk Radar GBSAR. The GBSAR moving target signal model is analyzed. Then, detection methods utilize shift and defocusing characteristics are analyze. According to the analysis, a new time-domain phase compensation method with relative speed for azimuth moving target detection is proposed. The analysis and proposed method are verified by simulated data.