Confidence Based Asynchronous Integrated Communication and Localization Networks Using IR-UWB Signals

IF 7.3 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Fan Liu;Bofeng Zheng;Jikai Yin;Yachuan Bao;Tingting Zhang;Qinyu Zhang
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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.
基于信誉度的异步集成通信和使用IR-UWB信号的定位网络
在集成通信和定位(ICL)需求日益增长的推动下,超宽带(UWB)技术因其高时间分辨率和强抗干扰能力而备受关注。本文提出了一种异步脉冲无线电UWB下行网络,使ICL使用统一的波形,消除了对导频信号或脉冲级同步的需要。提出了一种差分符号检测策略,该策略结合了具有优化阈值的符号置信度模型,以提高解调和定位可靠性。在此框架的基础上,开发了一种低复杂度的置信度加权时钟偏移估计算法来解决时间漂移。此外,引入了一种基于帧起始分隔符检测的鲁棒帧同步模型,用于帧报头检测。仿真结果验证了该系统同时支持可靠的数据解调和定位的能力。广泛的现实世界的实验进行了使用商业UWB平台与静态锚和移动代理。通过时钟校准和锚点选择,系统在90%的情况下可以实现10厘米以内的定位精度。
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
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.
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