{"title":"全双工无线电协同网络的联合位置和速度估计","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":"{\"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}","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}
Joint Position and Velocity Estimation for Cooperative Networks using Full-Duplex Radios
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.