{"title":"Propagation Model Selection for Unmanned Ground Vehicles Communication Links","authors":"A. Kaszuba-Checinska, R. Checinski, J. Łopatka","doi":"10.23919/NTSP.2018.8524090","DOIUrl":null,"url":null,"abstract":"The paper presents results of a propagation test performed for a Unmanned Ground Vehicle wireless communication link. Tests were performed using Orthogonal Frequency Division Multiplexing signals generated by a Universal Software Radio Peripheral in two frequency ranges: 2.4 GHz and 4.4 GHz. Achieved results were compared with predicted signal level obtained from a Vehicles in Network Simulation framework. The propagation models parameters were adjusted to minimize errors between measured results and predicted values to achieve high fidelity simulation environment.","PeriodicalId":177579,"journal":{"name":"2018 New Trends in Signal Processing (NTSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 New Trends in Signal Processing (NTSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/NTSP.2018.8524090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents results of a propagation test performed for a Unmanned Ground Vehicle wireless communication link. Tests were performed using Orthogonal Frequency Division Multiplexing signals generated by a Universal Software Radio Peripheral in two frequency ranges: 2.4 GHz and 4.4 GHz. Achieved results were compared with predicted signal level obtained from a Vehicles in Network Simulation framework. The propagation models parameters were adjusted to minimize errors between measured results and predicted values to achieve high fidelity simulation environment.