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An Emergency Seamless Positioning Technique Based on ad hoc UWB Networking Using Robust EKF

机译:基于鲁棒EKF的ad hoc UWB网络紧急无缝定位技术

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摘要

In this paper, a new emergency positioning technique is proposed based on ad hoc GNSS/UWB (Global Navigation Satellite System/Ultra-Wideband) network. The main innovations of the program are reflected in two aspects. First of all, a unified coordinate frame for indoor and outdoor environments is constructed dynamically with GNSS/UWB integration. In the outdoor environments, the high accuracy positioning can be achieved with GNSS/UWB equipment. The high-accuracy indoor coordinate is obtained by measuring the range observations between adjacent network nodes and outdoor GNSS/UWB nodes, and the range information of the UWB network is transmitted to the cloud server center. A network adjustment algorithm is proposed to improve the positioning accuracy of the UWB network. Secondly, a UWB indoor location algorithm based on robust EKF (Extended Kalman Filter) is proposed. By analyzing the transfer characteristics of gross error in EKF model, a new robust EKF model is established. The model is constructed based on the statistical characteristics of redundant observation components and prediction residual. The robust equivalent gain matrix is constructed, and the robust positioning solution of UWB is obtained with iteration. The global test is carried out first to further improve the real-time operation efficiency. Finally, a field indoor and outdoor seamless positioning experiment was carried out to verify the effectiveness of the proposed algorithm. The results show that the positioning accuracy of UWB emergency network nodes (anchors) can reach 0.35 m. Based on the network, the positioning accuracy of the tag can reach 0.38 m by applying the improved robust EKF positioning algorithm, which is improved by 20.83% and 73.43% compared with standard EKF and least square method, respectively.
机译:本文提出了一种基于ad hoc GNSS / UWB(全球导航卫星系统/超宽带)网络的应急定位技术。该计划的主要创新体现在两个方面。首先,通过GNSS / UWB集成,可以动态构建用于室内和室外环境的统一坐标系。在室外环境中,可以使用GNSS / UWB设备实现高精度定位。通过测量相邻网络节点与室外GNSS / UWB节点之间的距离观测值,可以获得高精度的室内坐标,并将UWB网络的距离信息传输到云服务器中心。提出了一种网络调整算法,以提高UWB网络的定位精度。其次,提出了一种基于鲁棒EKF(扩展卡尔曼滤波器)的UWB室内定位算法。通过分析EKF模型中总误差的传递特性,建立了新的鲁棒EKF模型。该模型基于冗余观测分量的统计特征和预测残差构建。构造了鲁棒的等效增益矩阵,并通过迭代获得了UWB的鲁棒定位解决方案。首先进行全局测试以进一步提高实时操作效率。最后,进行了室内外无缝定位实验,验证了算法的有效性。结果表明,UWB应急网络节点(锚点)的定位精度可达0.35 m。基于网络,通过使用改进的鲁棒EKF定位算法,标签的定位精度可以达到0.38 m,与标准EKF和最小二乘法相比,分别提高了20.83%和73.43%。

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