{"title":"Direct Tracking of Co-Channel Moving Sources With Different Cyclic Frequencies","authors":"Nan Xia;Bo Li;Jue Wang","doi":"10.1109/LCOMM.2020.2990210","DOIUrl":null,"url":null,"abstract":"Mobile source tracking is an important topic in the field of radio monitoring. A direct position determination method based on particle filtering is proposed in this letter for tracking multiple co-channel mobile transmitters. The co-channel signals, which have different symbol rates, overlap in both the time and frequency domains but can be distinguished in the cyclic frequency domain. We determine the positions of mobile targets directly from different cyclic cross-spectrum slices without time difference of arrival (TDOA) measurements. The particle filtering technique is employed to improve the accuracy in estimating motion states. Simulation results are given to demonstrate that the proposed algorithm outperforms other mobile tracking algorithms in the presence of co-channel interference.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"24 8","pages":"1715-1718"},"PeriodicalIF":4.4000,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/LCOMM.2020.2990210","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/9078054/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 2
Abstract
Mobile source tracking is an important topic in the field of radio monitoring. A direct position determination method based on particle filtering is proposed in this letter for tracking multiple co-channel mobile transmitters. The co-channel signals, which have different symbol rates, overlap in both the time and frequency domains but can be distinguished in the cyclic frequency domain. We determine the positions of mobile targets directly from different cyclic cross-spectrum slices without time difference of arrival (TDOA) measurements. The particle filtering technique is employed to improve the accuracy in estimating motion states. Simulation results are given to demonstrate that the proposed algorithm outperforms other mobile tracking algorithms in the presence of co-channel interference.
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.