Cooperative UWB-Based Positioning Systems: CDAP Algorithm and Experimental Results

A. Conti, D. Dardari, L. Zuari
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引用次数: 5

Abstract

The need for accurate positioning has attracted significant interest in recent years, especially in cluttered environments where signals from satellite navigation systems are not reliable. Positioning systems based on ultrawide bandwidth (UWB) technology have been considered due to the property of UWB signals to resolve multipath and penetrate obstacles. However, range-based localization techniques typically lack accuracy in dense cluttered environments, due to line-of-sight blockage and excess propagation delay through material. In this paper, we consider positioning in a real indoor environment scenario, where anchor nodes are deployed in known locations, and one or more target nodes wish to determine the own position. A range measurement error models based on measured data from real ranging devices is considered and we propose a multilateration cooperative algorithm that, without the need of measurements between targets, exploit the estimated position of cooperative nodes to increase localization performance. We examine the case where multiple targets are present in the same environment and how the position accuracy is affected by the cooperative nodes positions and by the availability of priori information about the environment and network geometry. Using numerical results based on experimental data, we demonstrate the impact of cooperation on the positioning accuracy. It is shown that, depending on the geometric configuration of the nodes, cooperation is not always advantageous.
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协同超宽带定位系统:CDAP算法及实验结果
近年来,对精确定位的需求引起了极大的兴趣,特别是在卫星导航系统信号不可靠的混乱环境中。由于超宽频带信号具有分辨多径和穿透障碍物的特性,基于超宽频带技术的定位系统得到了广泛的研究。然而,基于距离的定位技术通常在密集杂乱的环境中缺乏精度,因为视线阻塞和通过材料的过度传播延迟。在本文中,我们考虑在真实的室内环境场景中定位,其中锚节点部署在已知位置,并且一个或多个目标节点希望确定自己的位置。考虑了一种基于真实测距设备测量数据的距离测量误差模型,提出了一种无需目标间测量,利用合作节点估计位置提高定位性能的多重协同算法。我们研究了在同一环境中存在多个目标的情况,以及位置精度如何受到合作节点位置以及有关环境和网络几何形状的先验信息的可用性的影响。利用基于实验数据的数值计算结果,论证了配合对定位精度的影响。结果表明,根据节点的几何构型,合作并不总是有利的。
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