Fan Liu;Bofeng Zheng;Jikai Yin;Yachuan Bao;Tingting Zhang;Qinyu Zhang
{"title":"Confidence Based Asynchronous Integrated Communication and Localization Networks Using IR-UWB Signals","authors":"Fan Liu;Bofeng Zheng;Jikai Yin;Yachuan Bao;Tingting Zhang;Qinyu Zhang","doi":"10.1109/TNSE.2026.3658887","DOIUrl":null,"url":null,"abstract":"Driven by increasing demands for integrated communication and localization (ICL), ultra-wideband (UWB) technology has attracted significant attention due to its high temporal resolution and strong resilience to interference. This paper proposes an asynchronous impulse radio UWB downlink network that enables ICL using a unified waveform, eliminating the need for pilot signals or pulse-level synchronization. A differential symbol detection strategy is developed, incorporating a symbol confidence model with an optimized threshold to improve demodulation and localization reliability. Building on this framework, a low-complexity confidence-weighted clock offset estimation algorithm is developed to address timing drift. Additionally, a robust frame synchronization model based on start-of-frame delimiter detection is introduced for frame header detection. Simulation results validate the capability of the system to support reliable data demodulation and localization simultaneously. Extensive real-world experiments are conducted using a commercial UWB platform with static anchors and a mobile agent. With clock calibration and anchor selection, the system achieves localization accuracy within 10 cm in 90% of cases.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"6790-6808"},"PeriodicalIF":7.3000,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11367305/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Driven by increasing demands for integrated communication and localization (ICL), ultra-wideband (UWB) technology has attracted significant attention due to its high temporal resolution and strong resilience to interference. This paper proposes an asynchronous impulse radio UWB downlink network that enables ICL using a unified waveform, eliminating the need for pilot signals or pulse-level synchronization. A differential symbol detection strategy is developed, incorporating a symbol confidence model with an optimized threshold to improve demodulation and localization reliability. Building on this framework, a low-complexity confidence-weighted clock offset estimation algorithm is developed to address timing drift. Additionally, a robust frame synchronization model based on start-of-frame delimiter detection is introduced for frame header detection. Simulation results validate the capability of the system to support reliable data demodulation and localization simultaneously. Extensive real-world experiments are conducted using a commercial UWB platform with static anchors and a mobile agent. With clock calibration and anchor selection, the system achieves localization accuracy within 10 cm in 90% of cases.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.