Nowadays, accurate localization plays an essential role in many fields, like target tracking and path planning. The challenges of indoor localization include inadequate localization accuracy, unreasonable anchor deployment in complex scenarios, lack of stability, and high cost. So the universal positioning technologies cannot meet the real application requirements scarcely. To overcome these shortcomings, a comprehensive Ultra Wide-Band (UWB) based RTLS is presented in this paper. We first introduce the architecture of the real-time localization system, then propose a new wireless clock synchronization (WCS) scheme, finally discuss the time difference of arrival (TDoA) algorithm. We define the time-base selection strategy for the TDoA algorithm, and analyze the relationship between anchor deployment and positioning accuracy. The Extended Kalman Filter (EKF) method is presented for non-linear dynamic localization estimation, and it performs well in terms of stability and accuracy in moving targets.
翻译:目前,准确的本地化在许多领域发挥着必不可少的作用,如目标跟踪和路径规划等。室内本地化的挑战包括本地化准确性不足、在复杂情况下不合理地安装锚、缺乏稳定性和高成本。因此,通用定位技术根本无法满足实际应用要求。为克服这些缺陷,本文介绍了基于超广域定位系统的全面的RTLS。我们首先引入实时本地化系统架构,然后提出新的无线时同步(WCS)计划,最后讨论到达时间的差数(TDoA)算法。我们界定了TDoA算法的时间基准选择战略,分析了锚值部署和定位准确性之间的关系。扩展的Kalman过滤法用于非线性动态本地化估算,在移动目标的稳定性和准确性方面运行良好。