{"title":"Joint Position and Velocity Estimation for Cooperative Networks using Full-Duplex Radios","authors":"Yan Liu, Yuan Shen, M. Win","doi":"10.1109/ICCW.2019.8757045","DOIUrl":null,"url":null,"abstract":"In mobile scenarios, the position and velocity of each node in the wireless network are of importance for many applications. Using the full-duplex communication technology, we propose a joint position and velocity estimation scheme for cooperative networks. We first derive the closed-form expression of the Fisher information matrix, which characterizes the accuracy of the joint position and velocity estimation. Then, we propose a mutual interference cancellation scheme on the two-dimensional channel impulse response for channel parameter estimation, as well as a joint position and velocity estimation algorithm for cooperative networks. The simulation results illustrate that the performance of the proposed algorithm is close to the lower bound.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCW.2019.8757045","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
In mobile scenarios, the position and velocity of each node in the wireless network are of importance for many applications. Using the full-duplex communication technology, we propose a joint position and velocity estimation scheme for cooperative networks. We first derive the closed-form expression of the Fisher information matrix, which characterizes the accuracy of the joint position and velocity estimation. Then, we propose a mutual interference cancellation scheme on the two-dimensional channel impulse response for channel parameter estimation, as well as a joint position and velocity estimation algorithm for cooperative networks. The simulation results illustrate that the performance of the proposed algorithm is close to the lower bound.