{"title":"一种适用于崎岖地形的快速光线追踪算法","authors":"Shuo Hu, Li-xin Guo, Zhongyu Liu","doi":"10.1109/CSQRWC.2019.8799357","DOIUrl":null,"url":null,"abstract":"In order to analyze coverage prediction of irregular terrain using ray tracing model, some form of accelerating must be performed to improve computational efficiency. A new image source tree structure is proposed to improving the efficiency of coverage prediction. This paper describes an accelerating algorithm that has proven effective in working with large terrain data files which extracted from SRTM Digital Elevation Model (DEM) database. On the basis of triangular subdivision of DEM data, a lot of coverage predictions are illustrated to analyze the field distribution and channel characteristic using ray-tracing method.","PeriodicalId":254491,"journal":{"name":"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Fast Ray-tracing Algorithm for Rugged Terrain\",\"authors\":\"Shuo Hu, Li-xin Guo, Zhongyu Liu\",\"doi\":\"10.1109/CSQRWC.2019.8799357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to analyze coverage prediction of irregular terrain using ray tracing model, some form of accelerating must be performed to improve computational efficiency. A new image source tree structure is proposed to improving the efficiency of coverage prediction. This paper describes an accelerating algorithm that has proven effective in working with large terrain data files which extracted from SRTM Digital Elevation Model (DEM) database. On the basis of triangular subdivision of DEM data, a lot of coverage predictions are illustrated to analyze the field distribution and channel characteristic using ray-tracing method.\",\"PeriodicalId\":254491,\"journal\":{\"name\":\"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSQRWC.2019.8799357\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2019.8799357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In order to analyze coverage prediction of irregular terrain using ray tracing model, some form of accelerating must be performed to improve computational efficiency. A new image source tree structure is proposed to improving the efficiency of coverage prediction. This paper describes an accelerating algorithm that has proven effective in working with large terrain data files which extracted from SRTM Digital Elevation Model (DEM) database. On the basis of triangular subdivision of DEM data, a lot of coverage predictions are illustrated to analyze the field distribution and channel characteristic using ray-tracing method.