M. Kulawiak, Przemysław Falkowski-Gilski, M. Kulawiak
{"title":"DAB+ Coverage Analysis: a New Look at Network Planning using GIS Tools","authors":"M. Kulawiak, Przemysław Falkowski-Gilski, M. Kulawiak","doi":"10.23919/SPA.2018.8563396","DOIUrl":null,"url":null,"abstract":"For many years, the matter of designing a transmitter network, optimized for best signal coverage, has been a subject of intense research. In the last decade, numerous researchers and institutions used GIS and spatial analysis tools for network planning, especially transmitter location. Currently, many existing systems operate in a strictly two-dimensional manner, not taking into account the three-dimensional nature of the analyzed landscape. Moreover, systems that utilize a digital terrain model in their analyzes also resort to a basic viewshed model. Due to recent adoption of mobile LiDAR scanners, the number of three-dimensional terrain information, including location and height of natural and man-made objects, is growing rapidly. In this paper, we propose a novel web-based GIS tool for three-dimensional simulation and analysis of radio signal coverage, dedicated to DAB+ terrestrial broadcasting network planning.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SPA.2018.8563396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
For many years, the matter of designing a transmitter network, optimized for best signal coverage, has been a subject of intense research. In the last decade, numerous researchers and institutions used GIS and spatial analysis tools for network planning, especially transmitter location. Currently, many existing systems operate in a strictly two-dimensional manner, not taking into account the three-dimensional nature of the analyzed landscape. Moreover, systems that utilize a digital terrain model in their analyzes also resort to a basic viewshed model. Due to recent adoption of mobile LiDAR scanners, the number of three-dimensional terrain information, including location and height of natural and man-made objects, is growing rapidly. In this paper, we propose a novel web-based GIS tool for three-dimensional simulation and analysis of radio signal coverage, dedicated to DAB+ terrestrial broadcasting network planning.