L. G. D. Oliveira, Mohamad Basim Alabd, Benjamin Nuss, T. Zwick
{"title":"Range Association and Fusion in a Network of Single-Channel Monostatic OFDM Radars","authors":"L. G. D. Oliveira, Mohamad Basim Alabd, Benjamin Nuss, T. Zwick","doi":"10.1109/ICMIM48759.2020.9299074","DOIUrl":null,"url":null,"abstract":"This study introduces a framework for positioning with a network of single-channel monostatic radars with decentralized detection. In this context, a multitarget-multisensor data association procedure for estimating the number of point targets and assigned reflections from the radar stations to each supposed target is described. Next, a data fusion stage for each of these supposed targets as well as remarks on the achievable accuracy are discussed. Based on achieved results for a network of orthogonal frequency-division multiplexing (OFDM) radars, it is concluded that the introduced framework yields appropriate estimates on both number of targets and their positions.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIM48759.2020.9299074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This study introduces a framework for positioning with a network of single-channel monostatic radars with decentralized detection. In this context, a multitarget-multisensor data association procedure for estimating the number of point targets and assigned reflections from the radar stations to each supposed target is described. Next, a data fusion stage for each of these supposed targets as well as remarks on the achievable accuracy are discussed. Based on achieved results for a network of orthogonal frequency-division multiplexing (OFDM) radars, it is concluded that the introduced framework yields appropriate estimates on both number of targets and their positions.